Mission Software Engineer for Public Sector at Scale AI

Join Scale AI as a passionate and skilled Mission Software Engineer within our innovative Federal Engineering team. In this pivotal position, you will directly contribute to enhancing our government clients' capabilities by designing and implementing tailored solutions. Our advanced, scalable platform is essential for these solutions, and your technical expertise will be crucial in ensuring seamless integrations with existing client infrastructures, enhancing their workflows.Your Responsibilities Include:Engaging directly with clients to identify their needs and translating them into functional features within Scale’s platform.Being prepared for over 50% travel or potential relocation to key client sites.Working collaboratively with diverse teams to define and implement backend solutions that cater to the specific requirements of government agencies operating in secure environments.Executing comprehensive data integrations, ensuring synchronization of client data with Scale’s platform.Deploying and maintaining Scale software at client locations.Creating features requested by clients, working closely to ensure high satisfaction.Building robust and reliable backend systems that serve as standalone products, empowering clients to advance their AI initiatives.Actively participating in client engagements and collaborating with stakeholders to capture requirements and deliver cutting-edge solutions.This role requires an active TS/SCI security clearance or the capability to obtain one.

As the Mission Software Engineering Manager for Scale AI’s rapidly growing Public Sector division, you will be a pivotal member of our innovative Federal Engineering team. In this role, you will help government agencies leverage AI for essential national security, defense, and public missions. Your expertise will be vital in designing and implementing robust solutions that seamlessly integrate with our scalable, high-performance platform, enabling our customers to enhance their workflows effectively.Key Responsibilities:Build and mentor a high-performing engineering team dedicated to Generative AI projects.Boost engineering efficiency by providing technical leadership and guidance.Work collaboratively with cross-functional teams to define and execute a strategic roadmap.Engage directly with customers to translate their challenges into actionable features within Scale’s platform.Be prepared for approximately 25% travel or potential relocation to key customer locations.Partner with cross-functional teams to create backend solutions tailored for government agencies operating in secure environments.Oversee end-to-end data integrations, ensuring seamless synchronization between customer data and Scale’s platform.Deploy and maintain Scale software solutions on customer sites.Collaborate closely with customers to develop features that drive satisfaction and loyalty.Construct reliable backend systems that empower customers to accelerate their AI initiatives.Actively participate in customer engagements, working with stakeholders to comprehend requirements and deliver innovative solutions.This position requires a current TS/SCI security clearance or the capability to obtain one.

As a Senior Software Engineer within the Public Sector team at Scale AI, you will play a pivotal role in creating foundational products that empower forward-deployed teams to develop advanced agentic capabilities across various domains. Your responsibilities will include designing and building robust systems to ingest and process federal datasets, facilitating real-time decision-making in challenging environments. Our innovative solutions encompass:Establishing multi-layered guardrails around autonomous agentsEnhancing data retrieval processes for agentsCoordinating fleets of asynchronous agentsAutomatically notifying users of data anomaliesProviding transparency into how agents reach their conclusionsIn this role, you will lead the development of either a vertical feature or a horizontal capability, from defining requirements in collaboration with stakeholders through to final implementation and acceptance.Your core responsibilities include:Designing and implementing scalable backend systems and distributed architectures tailored for Federal clients.Managing the entire feature development lifecycle, from requirement gathering to deployment on classified networks.Overseeing the orchestration of asynchronous agent fleets to fulfill mission objectives.Engaging directly with customers to translate their mission needs into actionable technical requirements.Maintaining communication with stakeholders to ensure that implementations meet established acceptance criteria.Conducting technical reviews and assessing potential risks within machine learning infrastructure and model serving.Influencing the platform roadmap by delivering technical specifications for Federal product solutions.

As a Staff Software Engineer focused on the public sector, you will play a pivotal role in developing essential software components that empower teams to create intelligent solutions across various domains. Your responsibilities will include designing systems that ingest and process federal datasets, facilitating real-time decision-making in complex environments. Our work involves pioneering innovative capabilities, such as:Establishing multi-layered guardrails for AI agentsEnhancing data retrieval processes for agentsCoordinating fleets of asynchronous agentsAutomatically notifying users of data anomaliesProviding insights into agent decision-making processesIn this role, you will lead the execution of both vertical features and horizontal capabilities, guiding fellow engineers in defining requirements in collaboration with stakeholders and navigating technical implementation trade-offs until stakeholder acceptance is achieved.Your key responsibilities will include: Leading feature integration within the Federal engineering team to maintain architectural integrity.Formulating the technical strategy for agentic guardrails, explanation mechanisms, and fleet orchestration.Ensuring system reliability and performance across varying security classifications and network types.Mentoring engineers in the requirement definition process and ensuring stakeholder alignment.Communicating high-level technical trade-offs and implementation strategies to senior government officials and Scale AI executive leadership.Shaping the long-term product strategy and technical roadmap for the Federal business unit.Advising on the architecture of AI-driven solutions for large-scale federal contracts.

Join Scale AI, a leader in artificial intelligence solutions, as we rapidly expand our Public Sector division. Our mission is to empower government agencies in leveraging AI for national security and public operations. We are seeking a proactive Field Engineering Manager to lead our field engineering teams on federal AI projects. In this pivotal role, you will have a direct impact on significant revenue growth by fostering strong relationships with our key public sector clients and ensuring their satisfaction and loyalty to Scale AI. This position is perfect for a technical leader who enjoys team management while remaining engaged with cutting-edge technology and solving impactful challenges within the U.S. government.As a Field Engineer, you will be a software engineering generalist, skilled in client engagement and adept at translating ambiguous requirements into robust, production-grade solutions alongside our Product, Engineering, and Delivery teams. You will possess a deep understanding of Scale's products and codebase, as well as a broad technical knowledge of Generative AI systems, APIs, networking, and data engineering. Your ability to build strong relationships and manage projects will be crucial as you deliver technical solutions and nurture your team’s growth.Your role will encompass a balance of technical planning and execution (50%) alongside people management and team development (50%), overseeing a team of 6-8 engineers. You will collaborate across functions with product, engineering, security, and delivery teams to ensure compliance with federal regulations and security standards.Daily Responsibilities:Engage with customers in field engineering, focusing on technical development and solution delivery (50%)Manage and mentor a growing engineering team (50%)Key Responsibilities:Recruit and build a high-performing engineering team.Enhance engineering productivity through guidance, mentorship, and technical leadership on Generative AI projects.Collaborate with cross-functional teams to design and execute a strategic roadmap based on customer needs.Work directly with clients to identify their challenges and convert them into tailored workflows using Scale's platform.Be open to approximately 25% travel or potential relocation to key customer locations.Collaborate with cross-functional teams to define the vision for backend solutions tailored to government agency requirements.

Scale AI is on the lookout for an exceptionally talented and driven Software Engineer, Frontier AI Infrastructure to become an integral part of our innovative Public Sector Engineering team. In this role, you will take charge of the model inference layer, enabling cutting-edge AI models, troubleshooting the latest AI tools, managing networking tasks, addressing latency issues, and monitoring pricing and usage metrics for AI models. You will spearhead technical discussions with cloud vendors and clients to fulfill critical contracts and resolve platform challenges. Additionally, you will collaborate closely with Product teams to anticipate feature requirements, transitioning from reactive 'infra-only debugging' to proactive integration testing.Your Responsibilities Include:Designing and implementing secure, scalable backend systems tailored for Public Sector clients, utilizing Scale's advanced cloud-native AI infrastructure.Owning services or systems while defining long-term health objectives and enhancing the health of related components.Redesigning the architecture to operate in compliant or restrictive environments, which entails creating swappable components (authentication, storage, logging) to adhere to government and security regulations without compromising product integrity.Collaborating with Product teams to develop integration tests that identify issues early, shifting focus from 'infra-only debugging' to preventing upstream failures.Actively participating in customer engagements, liaising with stakeholders to comprehend requirements and deliver innovative solutions.Contributing to the platform roadmap and product strategy for Scale AI's Public Sector division, playing a vital role in shaping the future trajectory of our offerings.

The Senior Machine Learning Engineer at Scale AI is tasked with harnessing advanced methodologies in generative AI, computer vision, reinforcement learning, and agentic AI to enhance our product offerings and streamline the customer experience in live environments. Our machine learning engineers utilize a robust internal infrastructure and unparalleled access to extensive datasets to drive significant improvements for our clients. As part of the Public Sector Machine Learning team, you will be at the forefront of deploying innovative models to critical government systems through groundbreaking products such as Donovan and Thunderforge. Our work encompasses various modalities, with a strong emphasis on large language models and computer vision. On the LLM front, we are developing sophisticated agentic systems designed to address intricate operational and planning challenges for government entities. This involves creating agent frameworks that interface with custom retrieval systems and production APIs, alongside evaluation tools for assessing and refining agent performance. Additionally, we are pioneering research in reinforcement learning for agentic LLMs, successfully deploying these innovations in real-world operational contexts. In the realm of computer vision, we are focused on training advanced models to boost labeling throughput and automate perception tasks. Our initiatives include developing large-scale fine-tuning pipelines, training models across diverse modalities, and creating adaptable vision foundation models to support a variety of defense applications.

Senior Machine Learning Engineer - Model Evaluations for the Public Sector The Public Sector Machine Learning team at Scale AI pioneers the deployment of cutting-edge AI systems, including Large Language Models (LLMs), agentic models, and comprehensive multimodal pipelines, within critical government operations. We establish robust evaluation frameworks that ensure these models function reliably, safely, and effectively in real-world scenarios. As a Senior Machine Learning Engineer, you will architect, implement, and enhance automated evaluation pipelines that empower our clients to trust and effectively utilize advanced AI systems in defense, intelligence, and federal missions. Your Responsibilities Include: Creating and maintaining automated evaluation pipelines for machine learning models, focusing on functional, performance, robustness, and safety metrics, including evaluations based on LLM judges. Designing test datasets and benchmarks to assess generalization, bias, explainability, and potential failure modes. Building evaluation frameworks for LLM agents, which includes the infrastructure for scenario-based and environment-based testing. Conducting comparative analyses of model architectures, training procedures, and evaluation results. Implementing tools for continuous monitoring, regression testing, and quality assurance of machine learning systems. Designing and executing stress tests and red-teaming workflows to identify vulnerabilities and edge cases. Collaborating with operations teams and subject matter experts to generate high-quality evaluation datasets. This position requires an active security clearance or the ability to obtain one.

About Ditto Ditto builds technology that keeps data moving reliably, even when networks are unreliable or unavailable. Developers use Ditto’s peer-to-peer synchronization engine to power real-time applications for places where connectivity is a challenge: stadiums, aircraft, and remote military bases. Trusted by organizations such as Chick-fil-A, Delta Airlines, and the U.S. military, Ditto supports mission-critical operations across aviation, retail, travel, hospitality, and defense. The company has raised over $145 million and continues to grow globally, with a strong commitment to diversity and inclusion. Role Overview: Senior Software Engineer – Public Sector This Senior Software Engineer (Forward Deployed Engineer) position focuses on supporting Ditto’s public sector users. The role centers on collaborating directly with key users, integrating Ditto’s technology into operational environments, and ensuring rapid, effective deployments. The engineer acts as a technical leader in the field, solving complex problems as they arise and serving as a bridge between users and Ditto’s core engineering team. Adaptability and comfort with ambiguity are essential, as is the ability to resolve issues quickly in high-stakes situations. What You Will Do ATAK Plugin Development: Lead the design, creation, and field deployment of custom ATAK (Android Team Awareness Kit) plugins. These plugins embed Ditto’s data synchronization into the primary situational awareness tools used by warfighters. Android-Native Integrations: Build and optimize Android applications and services for tactical end-user devices. Ensure these solutions work reliably in disconnected, intermittent, and low-bandwidth (DIL) conditions. Integration Architecture: Design the full integration between Ditto’s platform and the broader TAK ecosystem. Define data contracts, API boundaries, and synchronization patterns to enable smooth interoperability with third-party systems and services. Real-Time Issue Resolution: Serve as the first line of technical support, diagnosing and fixing application, integration, and data-flow issues as they happen in the field. Location Remote, with preference for candidates based in Atlanta, Austin, San Francisco, or Seattle.

Join Scale AI as a Software Engineer on the ARC (Architecture, Reliability, & Compute) Team, where you'll be part of our innovative Public Sector Engineering group. In this role, you will play a pivotal role in defining the methodologies for deploying software in complex government and high-security environments, moving beyond traditional Terraform scripts. You will develop and manage internal command-line interfaces (CLIs) and tools to standardize testing, deployment, and environment management, essential for ensuring operational integrity and minimizing risks of downstream issues. Your contributions will involve automating deployment processes to mitigate technical debt, creating robust staging and testing environments, and setting the benchmark for secure deployments.Your Responsibilities:Design and construct secure, scalable backend systems tailored for Public Sector clients, utilizing Scale's cutting-edge cloud-native AI infrastructure.Take ownership of services or systems, defining their long-term health objectives, and enhancing the health of interrelated components.Re-architect the technology stack to operate in compliant or restrictive environments by designing interchangeable components (authentication, storage, logging) that adhere to government security mandates without compromising product functionality.Collaborate with cross-functional teams to develop and implement backend solutions, ensuring they cater to the unique requirements of government agencies functioning in secure environments.Engage actively with customers, working closely with stakeholders to comprehend requirements and deliver innovative solutions.Contribute to the platform roadmap and product strategy for Scale AI's Public Sector division, significantly influencing the future trajectory of our offerings.

Scale AI develops AI systems that support critical decision-making for organizations around the world. The Public Sector team partners with government agencies to bring AI solutions to important public missions. Role overview The Product Manager for Public Sector GenAI Test & Evaluation leads the vision and planning for Scale AI’s evaluation capabilities. This position manages the T&E technology stack, which is central to measuring, improving, and validating the performance of AI applications. The work often requires handling high-stakes and unpredictable scenarios. What you will do Set the direction and oversee development of the test and evaluation infrastructure for public sector AI projects. Collaborate with engineering teams to identify technical issues and translate them into clear action plans. Work closely with both commercial and government teams to define requirements, ensuring evaluation services meet strict standards. Continuously refine the technology stack so machine learning teams can enhance performance and reliability. Share key performance insights with stakeholders throughout the organization. Locations San Francisco, CA St. Louis, MO New York, NY Washington, DC

Join Scale GP (Scale Generative AI Platform), a cutting-edge enterprise-level Generative AI platform, where we provide robust APIs for knowledge retrieval, inference, evaluation, and much more. We are seeking a talented Software Engineer to become a pivotal part of our dynamic team, contributing to the development and expansion of our innovative product in a fast-paced setting. The ideal candidate will possess a deep understanding of software engineering principles and practices, along with hands-on experience in large-scale distributed systems. As a Software Engineer, you will take charge of major components of our product, engaging with both backend and frontend technologies, and collaborating with LLMs and machine learning models. You will tackle complex engineering challenges related to scalability and reliability, ensuring we meet the demands of our growing customer base.

Join Scale GP (Scale Generative AI Platform), an enterprise-level Generative AI platform that delivers powerful APIs for knowledge retrieval, inference, evaluation, and more. We are on the lookout for an exceptional Senior Full-Stack Engineer to contribute to the development, scaling, and enhancement of our dynamic product suite. The ideal candidate is well-versed in software engineering principles and has significant experience in creating and expanding modern web applications from start to finish. You will work across the entire stack—ranging from React/TypeScript frontends to Python-based backends—while integrating with Large Language Models (LLMs) and machine learning systems.Your role will involve tackling complex challenges related to scalability, reliability, and user experience while taking ownership of key product areas in a fast-paced setting.

Join Us in Combating the Escalating Wildfire Crisis with Cutting-Edge AI and IoT Solutions!About UsThe Challenge: Time is of the essence when it comes to wildfire response. As climate change exacerbates the severity of wildfires—resulting in extended fire seasons, drier conditions, and stronger winds—the risk to communities increases significantly. Currently, the majority of wildfires are detected by bystanders and reported through 911, leading to delays of hours in identifying a fire's location and size before first responders can be dispatched. Fire authorities urgently need a faster mechanism to detect, confirm, and locate fires to swiftly act and prevent small incidents from escalating into catastrophic infernos.About Pano AI: We are a rapidly growing hybrid-remote startup with over 150 dedicated employees, based in San Francisco. Pano AI is at the forefront of early wildfire detection and intelligence, providing fire professionals with the tools they need to respond more efficiently and safely. By integrating advanced hardware, software, and artificial intelligence into a user-friendly web platform, we utilize a network of ultra-high-definition, 360-degree cameras situated at elevated locations along with satellite and other data feeds to deliver real-time insights regarding regional threats. Our mission is to empower fire authorities to intervene before new ignitions develop into larger fires.Pano AI has been recognized as one of TIME's 100 Most Influential Companies of 2025. We were also featured in MIT Technology Review as one of the top 15 climate tech companies to watch in 2024, and Fast Company named us one of the Top 10 most innovative companies in AI for 2023. Our work has also been highlighted in prestigious publications like the Wall Street Journal and Bloomberg.

About Scale AIAt Scale AI, we are dedicated to accelerating the advancement of AI technologies. For over eight years, we have been a frontrunner in AI data solutions, driving groundbreaking developments in areas such as generative AI, defense systems, and autonomous vehicles. Following our recent Series F funding, we are committed to expanding access to frontier data, paving the way toward Artificial General Intelligence (AGI), while enhancing our model evaluation capabilities for both corporate and governmental clients.About Data EngineOur Generative AI Data Engine fuels the world's most sophisticated language models and generative systems through exceptional Reinforcement Learning with Human Feedback (RLHF), human data creation, model assessment, safety measures, and alignment strategies. The data we generate is pivotal in shaping how humanity interacts with AI.Our ApproachDuring the interview process, candidates may be considered for positions across various teams within the Generative AI Engineering division, depending on their interests, skills, and organizational needs. Potential teams include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams drive Scale’s AI data operations—from developing impactful datasets that expand LLM capacities to refining contributor engagement and ensuring data integrity through advanced safety and security protocols. They operate at the intersection of machine learning, operations, and analytics to guarantee the delivery of high-quality data at scale.

Who We AreAt Twelve Labs, we are at the forefront of innovation, developing state-of-the-art multimodal foundation models that enable video comprehension akin to human understanding. Our models have set new benchmarks in video-language modeling, unlocking more intuitive and expansive capabilities that fundamentally reshape how we engage with and analyze diverse media formats.With an impressive funding of $107 million from Seed and Series A rounds, we are proudly supported by leading venture capital firms, including NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, alongside renowned AI pioneers such as Fei-Fei Li, Silvio Savarese, and Alexandr Wang. Our headquarters in San Francisco, complemented by a significant presence in the APAC region with offices in Seoul, highlights our dedication to spearheading global innovation.As a globally minded organization, we celebrate the uniqueness of each individual’s journey. The diversity in our cultural, educational, and personal experiences empowers us to continuously challenge conventional ideas. We seek passionate individuals driven by our mission, eager to make a difference as we expand the horizons of technology to transform the world. Join us in revolutionizing video understanding and multimodal AI.About the RoleThis position requires an active US Department of Defense or Intelligence Community TS/SCI clearance.We are looking for a distinguished Solutions Engineer to provide direct support to US public sector clients. In this capacity, you will serve as the essential link between Twelve Labs' advanced video understanding platform and critical government operations.You will not merely be a consultant presenting a pitch deck; instead, you will act as a technical owner responsible for delivering production solutions. You’ll analyze an agency's workflow on Monday, design a solution utilizing our video AI models by Wednesday, and deploy a working prototype by Friday.This role merges the independence of a startup engineer with the significance of aiding vital government missions. You will collaborate in small, agile teams and take full ownership of the execution of high-impact projects that serve the public interest.Candidates should be prepared to travel up to 10% annually for conferences, off-site meetings, and other business-related events as required. This position may necessitate participation in on-site interviews and/or completion of in-person onboarding processes.

About Scale AIAt Scale AI, we are dedicated to revolutionizing the development of artificial intelligence applications. For eight years, we have established ourselves as the foremost AI data foundry, driving groundbreaking advancements in areas such as generative AI, defense applications, and autonomous vehicles. With our recent Series F funding round, we are poised to enhance the availability of frontier data, paving the way towards Artificial General Intelligence (AGI). Our commitment extends to refining our model evaluation expertise for enterprise clients and government entities, thereby enriching our capabilities for both public and private assessments.About the Generative AI Data EngineOur Generative AI Data Engine empowers the most sophisticated LLMs and generative models through premier Reinforcement Learning with Human Feedback (RLHF), human data generation, model evaluation, safety, and alignment. The data we generate is pivotal for shaping humanity's interaction with artificial intelligence.Our ApproachDuring the interview process, candidates may be considered for various roles across different teams within the GenAI Engineering organization based on their skills, interests, and business needs. Potential placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. These teams are instrumental in scaling Scale AI’s operations - from curating impactful datasets that enhance LLM capabilities to optimizing contributor onboarding and ensuring data integrity through advanced safety and security protocols. They operate at the crossroads of machine learning, operations, and analytics to guarantee that we deliver top-tier data at scale.Key Responsibilities:Design, develop, and maintain robust, scalable systems across the entire stack, including front-end, back-end, and infrastructure.Implement high-impact features using contemporary technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal.Work collaboratively with internal operators to identify bottlenecks and deliver rapid, effective solutions.Take ownership of core systems crucial to our contributor platform, directly influencing Scale’s GenAI data pipeline and overall business outcomes.Architect and scale infrastructure to manage millions of tasks weekly with high reliability and low latency.Collaborate cross-functionally with ML teams, Forward Deployed Engineers, and Product to maintain data quality and operational excellence.Contribute to fostering a robust engineering culture while setting best practices for peers through mentorship, code reviews, and process improvement.

Join Scale AI's innovative team as an Infrastructure Software Engineer for our Enterprise Generative AI Platform (SGP). In this dynamic role, you will help design and enhance our enterprise-grade AI platform, which offers robust APIs for knowledge retrieval, inference, evaluation, and more. We're seeking an exceptional engineer who thrives in fast-paced environments and is eager to contribute to the scaling of our core infrastructure. The ideal candidate will possess a solid foundation in software engineering principles and extensive experience with large-scale distributed systems. Your role will involve implementing solutions across various cloud providers (GCP, Azure, AWS) for clients in highly regulated sectors, including healthcare, telecommunications, finance, and retail.

About Ditto Ditto builds technology that keeps data connected at the edge, no matter the network conditions. Our peer-to-peer synchronization engine helps developers create real-time applications that work reliably, even in stadiums, airplanes, or remote military bases where internet access is limited or unavailable. With over $145 million in funding and partnerships with organizations like Chick-fil-A, Delta Airlines, and the U.S. military, Ditto supports mission-critical operations in aviation, retail, travel, hospitality, and defense. As a fast-growing startup, we value a diverse and inclusive team to help solve complex connectivity challenges worldwide. Role Overview Ditto is looking for an experienced Engineering Manager to lead our Forward Deployed Engineers (FDE) team, focusing on public sector clients. This is a customer-facing leadership role that blends technical depth with enterprise project delivery. The FDE team works closely with key customers, tackling integration challenges, building proof-of-concepts, supporting adoption, and channeling customer needs back to Ditto’s product and engineering groups. The manager will mentor engineers and act as a technical partner, helping Ditto deliver strong results in complex public sector environments. What You Will Do Lead, develop, and retain a team of Forward Deployed Engineers supporting enterprise and public sector customers. Set high standards for technical quality and customer engagement within the FDE team. Work closely with Sales, Customer Success, and Product teams to align engineering efforts with strategic account goals. Provide hands-on technical guidance on Ditto integrations, edge deployments, and architecture, including air-gapped, disconnected, and classified environments. Oversee project delivery: define scopes, manage workloads, remove blockers, and help clients achieve their objectives. Lead recruitment, onboarding, and career growth for FDE team members. Develop scalable processes, playbooks, and tools to improve team efficiency as the customer base grows. Champion the technical needs of public sector customers within Ditto. Location Remote. Candidates based in Atlanta, Austin, San Francisco, or Seattle are encouraged to apply.

With support from prominent Silicon Valley investors, Peregrine Technologies empowers public safety organizations, state and local governments, federal agencies, and private sector entities to tackle societal challenges with unparalleled speed and precision. Our AI-driven platform transforms isolated and disparate data into actionable intelligence, rapidly presenting critical information that enables improved decision-making and outcomes. Currently, Peregrine serves hundreds of clients across over 30 states and two countries, impacting more than 125 million individuals, as we broaden our reach into enterprise markets and international territories.TeamOur engineering team is deeply committed to the idea that empathy enhances our solutions. Understanding how users interact with our products is fundamental to our approach. Engineers have the unique opportunity to collaborate closely with our onsite team to grasp the diverse use cases that Peregrine addresses.We cherish both ownership and teamwork; you will be fully accountable for significant features while working hand-in-hand with fellow engineers to ensure successful delivery. We believe that humility and empathy are critical for crafting effective solutions, and you will engage directly with our deployment team and users as we refine our offerings to meet their needs. Ingenuity and perseverance are vital in realizing our vision.RoleAs part of our new AI team, you will play a key role in delivering unique value to our clients. This team is responsible for designing powerful and intuitive user experiences powered by generative AI. You will explore entirely new interaction methods for users—whether through natural language commands or by enabling AI agents to manage complex tasks on their behalf. Your contributions will shape impactful AI-driven features that assist customers in solving real-world challenges more efficiently.Your work will encompass a variety of intricate challenges, including scaling our platform to process terabytes of data from multiple sources, efficiently querying and alerting users about this data in real-time, and optimizing search algorithms for swift result delivery.While our technology stack is continuously evolving, it is built on a foundation that includes Python, Django, Celery, Airflow, and Kafka for the backend; React, Redux, and Mapbox for the frontend; PostgreSQL and Elasticsearch for data storage; machine learning models hosted in Bedrock and Sagemaker; and utilizing AWS, Pulumi, Terraform, and Kubernetes for our infrastructure.