Palantir Foundry Engineer

Join Our Innovative TeamAre you passionate about data and technology? At Unit8, we are on a mission to revolutionize traditional industries through AI and data analytics. As a Palantir Foundry Engineer, you will play a pivotal role in designing and implementing cutting-edge data solutions that empower businesses in sectors such as automotive, finance, and pharmaceuticals.About UsFounded in 2017, Unit8 is a dynamic Swiss consulting firm specializing in AI and data analytics. We collaborate with leading organizations across Europe to tackle their most pressing operational challenges. Our commitment to excellence has led us to successfully complete over 300 impactful projects, driven by a talented team of more than 150 professionals across five offices.Our aim is to facilitate the adoption of AI and Data Science within non-digital sectors, fostering their digital transformation. We also allocate resources to meaningful projects, including pro-bono initiatives and engineering for good causes.Your RoleAs a key member of our agile project teams, you will design, build, and maintain robust data solutions on the Palantir Foundry platform. Your work will directly impact our clients' ability to solve real-world business challenges.Develop, deploy, and troubleshoot complex data pipelines using a diverse set of technologies, with a strong focus on Palantir Foundry.Enhance data quality through optimization, testing, and tooling.Collaborate with software engineers, machine learning experts, and stakeholders in a cross-functional agile setting.Participate in agile teams to experiment and iterate on new product developments.

Role Overview Visium is looking for a Platform Engineer to help build and refine core platforms. This role focuses on designing, developing, and deploying scalable systems that support strong performance and reliability. What You Will Do Work with teams across disciplines to deliver solutions that strengthen infrastructure and streamline operations. Apply technical knowledge to improve system availability and efficiency. Contribute to the ongoing development and optimization of Visium’s platforms. Location Based in Lausanne, Vaud, Switzerland.

About the RoleAt Neural Concept, our Application Engineering team is dedicated to empowering industry leaders to transform their product design processes by integrating innovative AI technology with real-world engineering challenges. We collaborate closely with engineering, design, and executive teams across sectors such as automotive, aerospace, and energy to identify their strategic needs and provide solutions that yield measurable results.In this role, you will be at the crossroads of business and technology — translating intricate customer challenges into valuable AI-driven solutions, while ensuring these solutions are effectively implemented within our clients’ organizations. This position is ideal for someone who excels in both executive discussions and detailed technical sessions with engineers.If you are passionate about influencing how industry leaders leverage AI and enjoy being a trusted advisor to some of the most advanced engineering teams globally, we invite you to apply.Key ResponsibilitiesEngage with senior stakeholders (VP, C-level) to comprehend their business challenges, articulate the advantages of AI-assisted design, and collaboratively develop high-level solution roadmaps.Convert business requirements into tangible technical solutions using Neural Concept's platform, collaborating closely with customer engineering teams and internal developers.Facilitate AI adoption among customers — from initial proof-of-concept to full-scale integration — ensuring teams are well-prepared and confident in utilizing new workflows.Serve as a liaison between customer needs and Neural Concept's product development, providing feedback to enhance our platform continuously.Who You AreA proficient communicator and trusted advisor, capable of confidently engaging with senior stakeholders, establishing quick rapport, and aligning teams around complex, ambiguous problems.Experienced in designing solutions from inception to execution, adept at translating business needs into concrete technical strategies.Comfortable in a customer-facing role, adept at navigating both high-level executive discussions and in-depth technical sessions with engineering teams.Possess a Master's or PhD degree in Engineering, Applied Sciences, or a related field.

About UsAt Harmattan AI, we are pioneering the development of autonomous and scalable defense systems, positioning ourselves as a next-generation defense prime. Recently, we celebrated the successful closure of a $200 million Series B funding round, which has elevated our company valuation to $1.4 billion. This achievement fuels our ambition to expand our teams and enhance our capabilities, allowing us to deliver mission-critical systems to allied forces.Our operations are anchored in a set of core values: creating technologies that generate tangible impact, striving for excellence in every endeavor, setting and achieving ambitious objectives, and tackling the most challenging technical problems. We thrive in a high-demand environment where rigor, accountability, and execution are paramount.About the Role: As the Engineering Manager at Harmattan AI, you will be a crucial managerial interface between our R&D teams and the leadership. Your focus will be on empowering our engineers and establishing a standard of engineering excellence. This role is designed to alleviate the workload on senior leadership by fostering high-performing teams, enhancing internal tools, and standardizing workflows across the organization without compromising on execution speed. You will serve as a strategic partner to our leadership, contributing to the organizational framework and the long-term technical vision of the company.Responsibilities:People Management & Mentorship: Serve as a committed people manager for engineers, overseeing performance assessments, career development, and training programs.Recruitment: Take charge of the recruitment process as a top priority, building and sustaining an effective engineering team to support our ambitious growth objectives.Process Standardisation: Create and implement standardized workflows across software and electrical engineering teams to guarantee high-quality outcomes and consistency.Internal Tooling: Assess and enhance internal tooling—selecting between off-the-shelf and custom solutions—to ensure engineers have optimal resources for success.Organisational Strategy: Participate in structuring the organization by reorganizing teams and initiating changes that optimize cross-functional (XFN) delivery.Vision & Execution: Collaborate with leadership to shape the company's vision, contributing innovative ideas rather than merely executing existing strategies.

About UsHarmattan AI is at the forefront of developing autonomous and scalable defense systems for the next generation. With the recent successful closure of a $200 million Series B funding round, which has positioned our company at a valuation of $1.4 billion, we are actively expanding our team to deliver critical mission systems to allied forces.Our operations are driven by our core values: creating technologies that have a tangible impact, striving for excellence across all our endeavors, setting ambitious objectives, and tackling the most complex technical challenges. We thrive in a challenging environment where meticulousness, ownership, and results are paramount.RoleWe are looking for a talented Aerodynamics Design Engineer to join our innovative team, focusing on the design of advanced unmanned aerial vehicles (UAVs). You will serve as the technical cornerstone for our flight physics, converting mission parameters into optimized airframe designs. Your role will connect theoretical principles with practical hardware, collaborating closely with both the Mechanical and Guidance, Navigation, and Control (GNC) teams to ensure our platforms achieve high performance, stability, and manufacturability.ResponsibilitiesConceptual Design & Architecture: Spearhead aerodynamic layouts for fixed-wing, multicopter, and eVTOL configurations, translating mission requirements (range, speed, payload) into precise technical specifications.Multi-fidelity Analysis: Develop and implement a comprehensive range of numerical analysis methods, from rapid analytical and empirical techniques to high-fidelity CFD, including potential and/or panel methods.End-to-End CFD Workflow: Manage the complete simulation process: geometry preparation, meshing, solver execution, and post-processing tasks.Optimization: Utilize gradient-based or adjoint methods to enhance surfaces for drag reduction and optimal lift-to-drag ratios.GNC & Flight Physics Support: Create high-fidelity aero-databases and stability derivatives to assist the GNC team with control law development and autopilot tuning.RequirementsEducation: Bachelor's, Master's, or Ph.D. in Aerospace Engineering, Aeronautical Engineering, or a related discipline.Technical Knowledge: Strong foundation in aircraft design, systems integration, subsonic aerodynamics, flight mechanics, and low-Reynolds number flows.Design Sense: Demonstrated experience in aerodynamics and design, with a keen understanding of performance considerations.

About UsHarmattan AI is a pioneering defense leader focused on delivering autonomous and scalable defense systems. After successfully closing a $200M Series B funding round, which valued the company at $1.4 billion, we are expanding our teams and capabilities to provide mission-critical solutions to our allied forces.Our endeavors are driven by strong values: creating impactful technologies, striving for excellence, setting ambitious objectives, and tackling the most challenging technical problems. We work in a high-pressure environment where accountability, rigor, and execution are paramount.About the RoleAs a Mechanical Engineer on the Airframe team at Harmattan AI, you will be responsible for the design of UAV platforms and subsystems in a dynamic and autonomous setting. You will lead projects from initial concept to production, ensuring optimal performance, reliability, and manufacturability.

About the RoleAs the Vice President of Engineering, you will play a pivotal role in constructing, scaling, and managing a top-tier software engineering team tasked with consistently delivering on Neural Concept's bold product and technology initiatives.Your mission will be to transform product vision into tangible software outcomes while ensuring that our teams and corporate culture evolve sustainably—focusing on quality, efficiency, and professional development.Key ResponsibilitiesLead Engineering Execution and DeliveryGuarantee predictable and high-quality outcomes across product and platform projects.Convert product and technical strategies into actionable plans, timelines, and commitments.Proactively identify risks and manage trade-offs with transparency.Organize the Engineering StructureRefine team structures, ownership responsibilities, and collaboration frameworks as we expand.Develop and mentor engineering managers and technical leaders.Continuously align the organization with the company’s growth trajectory.Establish Modern Engineering ProcessesCreate streamlined, effective development processes that adapt as we grow.Utilize cutting-edge AI technologies to enhance our operations while maintaining agile teams.Define and monitor key engineering performance metrics.Ensure Technical Quality, Reliability, and SecurityCollaborate with the CTO to maintain architectural integrity and long-term technical sustainability.Implement practical strategies for managing technical debt, quality assurance, and operational excellence.Work together with go-to-market and deployment teams to ensure seamless and secure launches across various customer scenarios.Foster Collaboration with Leadership and ClientsPartner with Product, Research, Deployment, and Leadership teams.Represent the engineering team in cross-departmental and customer-facing interactions.Serve as a key ally to the CTO, providing insights on execution, risk management, and organizational health.

Your RoleAs a Full-Stack Product Engineer, you will develop robust and scalable backend systems along with high-performance applications that serve as a new intelligence layer within our engineering software, driving the next wave of technological advancement.Your key responsibilities will include:Designing and creating high-performance applications that simplify the handling of complex 3D and physics datasets, as well as AI-driven workflows.Building modular distributed systems deployable on diverse high-performance infrastructures (such as Kubernetes and on-premise HPC).Crafting optimized and user-friendly APIs with a focus on minimizing latency and ensuring reliability.Contributing to the development of high-performance databases and unstructured data management solutions.Working closely with the platform team to integrate observability into all our services.Enhancing delivery processes by evolving CI/CD practices, testing frameworks, and rollout safeguards.Establishing and maintaining automated pipelines utilizing GitHub Actions CI/CD.Collaborating across product development and design teams to craft problem statements and solutions that measurably enhance user value.

Join Our Team at Harmattan AIAt Harmattan AI, we are pioneering the development of autonomous and scalable defense systems, aiming to provide cutting-edge solutions for allied forces. With a recent $200M Series B funding round that has elevated our valuation to $1.4 billion, we are poised for rapid growth and innovation.Our core values drive us to create technologies that make a real-world impact, pursue excellence relentlessly, and tackle the most challenging technical hurdles. We thrive in a high-performance environment where accountability, precision, and execution are paramount.As an Aerodynamics Testing Engineer, you will play a crucial role in bridging the gap between theoretical simulations and real-world applications. Your primary responsibility will be to validate the flight dynamics of our advanced UAV platforms, which include long-endurance fixed-wing aircraft and high-speed eVTOLs.You will lead the design, execution, and analysis of experimental campaigns to ensure that our aircraft meet efficiency, stability, and safety standards. Utilizing rapid prototyping techniques, you will transform aerodynamic concepts into flight-ready prototypes and ground testing models, ensuring a seamless transition from CFD predictions to actual performance.Collaboration will be key as you work closely with the Mechanical (Meca) team to design and manufacture specialized testing rigs and instrumented prototypes, translating aerodynamic concepts into durable and testable hardware.Key ResponsibilitiesPrototype Development: Design and fabricate prototypes using materials such as foam, 3D printing, and composites to optimize aerodynamic shapes.Flight Testing: Oversee flight test campaigns for both fixed-wing and eVTOL platforms. Define test plans and safety protocols to gather aerodynamic data and conduct flight log analysis for model validation.Wind Tunnel Experiments: Design and perform wind tunnel tests and static thrust assessments, including the creation of instrumented scale models and automated data acquisition systems to evaluate propulsion efficiency and airframe performance.Data Correlation: Align simulation data with experimental outcomes to enhance model accuracy. Develop comprehensive Aerodynamic Databases (ADB) to assess vehicle performance across the entire flight envelope.Instrumentation: Integrate various sensors, including Pitot-static systems and load cells, to facilitate comprehensive performance measurements.

About UsAt Harmattan AI, we are pioneering the development of autonomous and scalable defense systems for the next generation. Following a significant $200 million Series B funding round, which values our company at $1.4 billion, we are poised for growth and are enhancing our teams and capabilities to deliver critical systems to allied forces worldwide.We are driven by our core values: creating impactful technologies, striving for excellence, setting ambitious goals, and tackling challenging technical problems. Our work environment is demanding, and we expect rigor, ownership, and high execution standards from our team members.Role OverviewAs an Aerodynamics Methodology & Software Engineer at Harmattan, you will serve as a vital link between aerospace physics and high-performance software engineering. Your primary objective will be to enhance our internal computational ecosystem, oversee our HPC/Cloud infrastructure, and convert research-oriented scripts into production-grade engineering software. You will play a key role in architecting our agentic AI workflows, developing custom MCP servers, and creating LLM-ready repositories to streamline complex simulation processes and design optimizations. You will engineer automated toolchains, enabling our team to rapidly iterate on UAV designs with unmatched precision and speed.Key ResponsibilitiesSoftware Professionalization: Transform research scripts and specialized tools into modular, high-performance, maintainable Python/C++ libraries. Ensure adherence to robust unit-testing and documentation protocols, guiding team members in structured code development.AI-Augmented Engineering & Orchestration: Design agentic workflows and custom MCP (Model Context Protocol) servers to integrate LLMs with internal CFD solvers and databases; document engineering insights into SKILLS.md or CLAUDE.md files for AI-driven code refactoring, automated simulation setups, and intelligent data analysis.MDAO Toolchain Integration: Create a cohesive design environment by developing APIs and automated workflows that connect various tools (e.g., OpenVSP, XFoil, and OpenFOAM) into streamlined optimization cycles.Infrastructure & Scalability: Optimize and manage our calculation infrastructure, including Linux-based HPC clusters (Slurm) and/or cloud computing platforms (AWS/Azure).Aero Database (ADB) Management: Establish the data architecture for storing and retrieving high-dimensional aerodynamic results, ensuring that GNC and flight physics teams have a single source of truth for data.

About UsHarmattan AI is at the forefront of defense technology, specializing in the development of autonomous and scalable defense systems. With the successful closure of a $200M Series B funding round that values us at $1.4 billion, we are on an exciting trajectory of growth, enhancing our teams and capabilities to deliver mission-critical systems for allied forces.Our operations are anchored in strong values: creating technologies that make a tangible impact, striving for excellence in every endeavor, setting ambitious objectives, and tackling the most challenging technical problems. We thrive in a high-demand environment where precision, accountability, and effective execution are paramount.About the RoleAs a GNC Engineer within our UAV team, you'll be instrumental in designing and developing cutting-edge guidance, navigation, and control (GNC) solutions. Your responsibilities will range from integrating and fusing sensor data to creating control laws and flight trajectories, taking your innovations from simulation into embedded implementation and ultimately, real-world flight testing.

About the RoleAs part of Neural Concept’s innovative Machine Learning Application Engineering team, you will play a vital role in addressing complex engineering challenges faced by our clients in the automotive, aerospace, and energy sectors. Our mission is to work collaboratively with engineering and design teams, helping them navigate their pain points and optimize their design processes. By harnessing our advanced platform, we unlock significant insights from intricate computer-aided engineering datasets, directly influencing product design and enhancing development speed through the application of 3D deep learning and engineering intelligence.In this pivotal role, you will assist industry leaders in revolutionizing their product design workflows by utilizing groundbreaking technologies. Your technical expertise will foster trust and admiration among our customers as you deliver exceptional quality in your work. This is an unparalleled opportunity to be at the forefront of the intersection between engineering and artificial intelligence, collaborating with top-tier clients globally and impacting the evolution of the industry. If you are enthusiastic about experiencing the rapid advancements in engineering firsthand, this is the ideal team for you.What You Will DoCollaborate with client engineering teams to execute projects, analyze and process engineering data utilizing our platform and Python libraries, and design customized solutions and workflows.Implement our machine learning and deep learning workflows to address diverse engineering and physics challenges, while delivering proofs-of-concept that showcase the value of our technology in CAD, CAE, and manufacturing contexts.Educate customer teams on effectively leveraging our methodologies and platform, facilitating seamless integration of AI into their existing workflows.Engage closely with our development team to relay customer needs and feedback, driving product enhancements.Who You AreYou are passionate about tackling real-world challenges through machine learning and automation, with a commitment to transforming engineering practices for industry leaders.You possess a Master’s or PhD in Engineering, Applied Mathematics, or Physics.You have a strong grasp of both engineering principles and machine learning methodologies.

Are you driven by a passion for artificial intelligence and eager to foster innovation in a dynamic, impactful setting? If you possess experience in developing AI-enhanced applications and take pleasure in mentoring others, we would love to have you join Nexthink as a Senior AI Engineer!In this pivotal role within our AI team, you will prototype, refine, and deploy AI-driven functionalities into Nexthink’s cloud platform. You will guide architectural decisions, establish best practices, and ensure that our AI systems are scalable, observable, and production-ready.Key Responsibilities:AI Engineering & ArchitectureDesign, develop, and manage production-grade AI/ML systems, including applications powered by large language models (LLMs), natural language processing (NLP) models, retrieval-augmented generation (RAG) pipelines, and multi-agent systems.Make critical architectural choices regarding model selection, training methodologies, fine-tuning processes, retrieval frameworks, orchestration layers, and infrastructure.Integrate external AI services, such as LLM providers, into Nexthink’s cloud ecosystem.Tackle engineering challenges linked to data collection, retrieval, evaluation, inference, latency, and cost optimization.AI Done Right – Evaluation & QualityEstablish robust online and offline evaluation frameworks along with success metrics.Implement dashboards and monitoring systems to gauge quality and identify regressions in production.Create automated evaluation pipelines for prompts, embeddings, models, and agent workflows.Ensure the observability and reliability of AI systems at scale.MLOps & Cloud EngineeringDevelop and uphold reproducible machine learning pipelines and CI/CD workflows for AI components.Oversee the deployment, monitoring, and lifecycle of models and AI artifacts in a production environment.Enhance systems for scalability, performance, throughput, and cost efficiency.Utilize AWS or equivalent cloud platforms, Docker, and orchestration frameworks (Kubernetes/ECS).Product & Cross-Functional CollaborationWork closely with product managers, designers, software engineers, and data scientists.Translate ambiguous product requirements into clear, incremental, and testable engineering plans.Proactively suggest new AI capabilities based on user insights and technological advancements.Clearly communicate intricate AI concepts to both technical and non-technical stakeholders.Leadership & MentorshipGuide and mentor junior AI engineers in best practices for production.

Join Artelia as an Electrical Project Engineer or Project Manager in Lausanne, where you will lead innovative projects that shape the future of electrical engineering. We are looking for candidates who are passionate about their work and eager to take on new challenges in a dynamic environment.

Role overview As a Platform Engineer at evooq in Lausanne, the focus is on building and optimizing the platforms that power the company's products. The main goal is to enhance performance and reliability, ensuring users have smooth and dependable experiences. What you will do Design, implement, and maintain the infrastructure supporting evooq's platforms Work with advanced technologies to improve platform performance Collaborate with teams throughout the company to support evolving solutions Prioritize reliability and seamless experiences for users Location This role is based in Lausanne.

About UsHarmattan AI is at the forefront of revolutionizing defense technology, specializing in the development of autonomous and scalable defense systems. With our recent success in securing a $200 million Series B funding round, which has elevated our valuation to $1.4 billion, we are actively expanding our teams and enhancing our capabilities to provide mission-critical systems to allied forces.Our commitment to innovation is driven by core values: creating technologies that have a tangible impact, striving for excellence in all endeavors, setting high aspirations, and tackling the most challenging technical problems. We thrive in a high-pressure environment where rigor, ownership, and top-notch execution are paramount.About the RoleAs a Validation Engineer, you will be instrumental in validating the performance, reliability, and operational readiness of our autonomous defense systems. You will spearhead test campaigns on our systems, providing crucial insights for internal development and helping maintain our competitive edge in the market.

Role overview Neural Concept is looking for a Machine Learning Application Engineer fluent in Japanese or Korean to join the Lausanne office. The role centers on supporting clients in Korea as they tackle engineering challenges across industries such as automotive, aerospace, and energy. The team partners with these organizations to understand their needs and deliver solutions that speed up design processes, using advanced computer-aided engineering data and 3D deep learning. This position bridges engineering and artificial intelligence. As part of the Application Engineering Team, the work involves helping industry leaders reshape their product development workflows. Collaboration with global clients, influencing product design, and contributing to the evolution of engineering practices are key aspects of this role. What you will do Work directly with customer engineering teams to manage projects, analyze engineering data with Neural Concept's platform and Python libraries, and develop tailored solutions and workflows. Use machine learning and deep learning methods to address engineering and physics problems, delivering proofs-of-concept that demonstrate the technology's value in CAD, CAE, and manufacturing contexts. Train customer teams on how to use Neural Concept's platform and methodologies, supporting the integration of AI into their workflows. Collaborate with the development team to share customer needs and feedback, contributing to future product improvements.

About UsHarmattan AI is a pioneering defense contractor focused on developing autonomous and scalable defense systems. After successfully securing $200M in Series B funding, which has positioned the company at a valuation of $1.4 billion, we are actively growing our teams to enhance our capabilities and deliver vital systems to allied forces.Our commitment is to create technologies that have a tangible impact, striving for excellence in all aspects, setting ambitious goals, and tackling the most challenging technical problems. We thrive in a challenging environment that demands rigor, accountability, and execution.About the RoleAs a Mechanical Engineer on Harmattan AI's Airframe team, you will be responsible for the design of UAV platforms and subsystems in a dynamic, autonomous setting. You will take charge of projects from initial concept to final production, ensuring performance, reliability, and manufacturability are optimized.ResponsibilitiesDesign and prototype UAV platforms and complex subsystems, ensuring an optimal balance between durability, efficiency, and performance.Take full ownership of system-level constraints, including thermal management, mass budget, COGS, and environmental sealing.Collaborate closely with R&D teams (Electrical, Software, and Industrialisation) to facilitate smooth mechanical integration of sensors, payloads, and electronics.Conduct thorough testing, including stress and failure analysis, proactively identifying risks and developing the necessary tools to validate designs for extreme environments.Manage your own delivery packages and technical specifications with precision, consistently meeting or exceeding requirements under tight deadlines.Oversee the manufacturing process through collaboration with suppliers and external manufacturers, focusing on plastic injection molding and precision machining to achieve quality and schedule targets.Maintain comprehensive documentation through Confluence, including all designs, test results, and production workflows, to support knowledge sharing and continuous improvement.

About UsHarmattan AI is pioneering the development of autonomous and scalable defense systems for the modern era. Following a successful $200 million Series B funding round, which has propelled our valuation to $1.4 billion, we are actively expanding our teams and enhancing our capabilities to deliver essential systems to allied military forces.Our operations are driven by a commitment to create technologies that generate tangible impacts, uphold excellence in all endeavors, set ambitious targets, and tackle the most challenging technical problems. We thrive in a dynamic environment where meticulousness, accountability, and effective execution are paramount.About the RoleIn the capacity of Chief Engineer, you will take full ownership of the architecture, system definition, and execution of our robotic systems, overseeing the journey from initial concept to field deployment. You will collaborate closely with project managers and technical leaders to translate mission objectives into comprehensive system-level designs, orchestrate multidisciplinary engineering teams, and ensure the overall performance, robustness, and reliability of our systems.

At Genius Sports, we’re revolutionizing the sports experience for fans around the globe by leveraging cutting-edge technology and unparalleled live data, delivering immersive, interactive, and personalized experiences like never before. Discover more at geniussports.com.About the Role We are seeking a skilled Senior Applied AI Engineer to develop production-grade, multimodal systems (audio/video/text) that transform broadcast and radio feeds into structured, real-time signals and event candidates. You will play a pivotal role in implementing and enhancing “agentic” components, such as sensor agents and decision logic, which power innovative products like Audio Intelligence, semi-automated broadcast-to-data tagging, and highlight/momentum signals.Your technical expertise and pragmatic problem-solving approach will be essential as you collaborate within a team that values Agile delivery principles and continuous improvement. You will adopt a data-driven mindset, embracing the principles of continuous experimentation and validation.Key Responsibilities Develop and maintain multimodal agents:Audio sensor agents (acoustic events, sentiment analysis, alignment)Visual sensor agents (scorebug/overlay interpretation, basic visual cues)Specialist and decision logic components (structured event outputs, confidence scoring, traceability)Implement streaming-friendly pipelines encompassing chunking, normalization, time synchronization, asynchronous execution, and robust retry/backoff strategies for model/tool calls.Develop prompt-as-code with strict JSON contracts, schema validation, and deterministic post-processing to enhance system stability.Enhance system resilience against noisy inputs by:Designing fallback behaviors for degraded modesIncorporating guardrails and confidence thresholdsInstrumenting traces and metrics for latency, cost, and accuracyCollaborate with product, platform, and domain leads to translate sports rules and edge cases into validation logic and integrate outputs into downstream consumers (tagging, live feeds, analytics).Contribute to the evaluation workflow by adding test cases, failure mode categories, and regression checks for prompts and model routing.Stay updated with emerging generative AI technologies, tools, and trends.