Technical Staff Member - Product Engineering (Python)

At Composio, we are creating cutting-edge infrastructure that empowers agents to seamlessly connect with the essential tools you rely on for work, such as Github, Gmail, Notion, Salesforce, and more. As a compact team of dedicated engineers, we tackle challenges ranging from context to search, ensuring we deliver the most effective bridge between your agents…

Overview: As a part of our ambitious expansion plan driven by strong market demand, Listen Labs is looking to enhance our engineering team with a talented Technical Lead. If you are passionate about leveraging technology to create innovative solutions that reshape decision-making for companies, we want to hear from you!About Listen Labs:Listen Labs is at the forefront of AI-driven research, transforming the way teams derive insights from customer interviews in mere hours instead of months. Our platform empowers users to analyze conversations, identify themes, and expedite smarter product decisions.Why Join Us?Exceptional Talent: Our team boasts multiple IOI medalists and includes experts from prestigious companies like Jane Street, Twitter, and Stripe, among others.Rapid Growth: Backed by Sequoia, we’ve scaled from zero to a $14M run-rate in under a year, maintaining a focus on quality and ownership.Strong Customer Base: We have secured significant wins with enterprises such as Google and Microsoft, showcasing our product's effectiveness across various segments.Proven Success: Our differentiated product has resulted in an industry-leading win rate and consistent customer acquisitions, leading to rapid expansions.Viral Engagement: Our product promotes organic growth, with interviews reaching thousands of viewers, generating daily interest from Fortune 500 companies.Technical Responsibilities:AI Research Agent Development: Design an AI agent that supports users throughout their research process, ensuring they leverage best practices for optimal results.Human Database Construction: Develop a comprehensive database of users to enhance our understanding and capabilities, enabling precise targeting and improved insights.

Join Connectly as we revolutionize conversational commerce in Latin America, focusing on the WhatsApp platform. With WhatsApp shopping becoming increasingly prevalent, we are dedicated to creating an AI-driven sales solution tailored for large retailers. Our mission is to streamline the purchasing process by ensuring real human interaction in response to WhatsApp inquiries.As a VC-backed Series B startup, we boast a diverse and talented team hailing from industry giants like Meta, Google, and Uber. Operating in a hybrid work environment, we maintain offices in Bogotá and San Francisco, with teams distributed across Latin America, including Brazil, where many of our innovative AI initiatives are developed.

Join our innovative team at liquid-ai as a Member of the Technical Staff specializing in audio applications. As a post-training role, you will have the opportunity to apply your knowledge in cutting-edge audio technologies, contributing to the development of advanced machine learning solutions.This position is ideal for individuals who are eager to work in a collaborative environment and are passionate about audio technology and its applications in artificial intelligence.

At Magic, we are on a mission to create safe Artificial General Intelligence (AGI) that propels humanity forward in addressing the world's most pressing challenges. We believe that the key to achieving safe AGI lies in automating research and code generation, enabling us to enhance models and solve alignment issues more effectively than humans can do alone. Our innovative approach integrates cutting-edge pre-training, domain-specific reinforcement learning, ultra-long context processing, and inference-time computation to realize this vision.Role OverviewAs a Software Engineer within the Product team, you will play a pivotal role in developing and scaling user-facing systems that leverage Magic’s advanced long-context models.This position encompasses a full development cycle, including frontend and backend development, API creation, and deep model integration. You will take ownership of product features from conceptualization to implementation and iteration, collaborating closely with our Reinforcement Learning Research and Environments teams to transform technical advancements into tangible user experiences.Our long-context models present unique product challenges such as translating complex behaviors into understandable actions, providing user control without overwhelming them, and ensuring reliability during extensive or high-context operations. You will craft systems that render advanced model functionalities intuitive and production-ready.This role offers opportunities for expanded responsibilities in product architecture, defining AI-native interaction patterns, or spearheading significant product initiatives based on Magic’s long-context capabilities.

At Gimlet Labs, we are pioneering the development of the first heterogeneous neocloud designed specifically for AI workloads. As the demand for AI systems surges, traditional homogeneous infrastructures face critical limits in power, capacity, and cost. Our innovative platform effectively decouples AI workloads from their hardware foundations, intelligently partitioning tasks and orchestrating them to the most suitable hardware for optimal performance and efficiency. This strategy fosters heterogeneous systems that span multiple vendors and generations, including cutting-edge accelerators, enabling significant enhancements in performance and cost-effectiveness at scale.In addition to this foundational work, Gimlet is establishing a robust neocloud for agentic workloads. Our clients benefit from deploying and managing their workloads via stable, production-ready APIs, without the need to navigate hardware selection or performance optimization intricacies.We collaborate with foundation labs, hyperscalers, and AI-native companies to drive real production workloads capable of scaling to gigawatt-class AI datacenters.We are currently seeking a Member of Technical Staff specializing in ML systems and inference. In this pivotal role, you will be responsible for designing and constructing inference systems that facilitate the execution of complete models in real production environments. You will operate at the intersection of model architecture and system performance to ensure that inference processes are swift, predictable, and scalable.This position is perfect for engineers with a deep understanding of modern model execution and a passion for optimizing latency, throughput, and memory utilization across the entire inference lifecycle.

Join Mirendil as a Member of the Technical Staff in our Product Development team! We are seeking innovative minds to help design and implement cutting-edge solutions that meet the evolving needs of our clients. As a key player in our team, you will collaborate with cross-functional teams to drive project success and contribute to the development of our product roadmap.

About Vapi:We are revolutionizing the way humans interact with technology by making voice the primary interface.Our platform is the most adaptable for deploying voice agents, catering to diverse needs.In just two years, we've onboarded over 600,000 developers, with an influx of 2,000 new developers daily.Experience Vapi's capabilities now!Why This Role Is Crucial:Our Enterprise Annual Recurring Revenue (ARR) is growing at an impressive rate of ~5x year-over-year, with prestigious clients such as NYLife and Intuit.We have witnessed rapid deployment and expansion within Enterprises, and we need a Forward Deployed Engineer (FDE) to accelerate these efforts.Your Responsibilities:30 Days: You'll successfully deploy a significant enterprise solution on-site.60 Days: You will identify additional use cases and applications within the team.90 Days: You will develop products that simplify future deployments.Who You Are:You have experience working in a technical role at an early-stage startup.You have served as an FDE at a company we respect.Bonus: You have entrepreneurial experience from building your own startup.Why Join Vapi:Make a Generational Impact: Help create the human interface for businesses worldwide.Ownership Culture: Around 70% of our team members are former founders.Supportive Team: Work with a kind and approachable team led by our Canadian founders, Jordan and Nikhil.Top-tier Investors: Backed by Y Combinator, KP Seed, and Bessemer Series A.What We Provide:Equity Ownership: Competitive salary with substantial equity options.Health Benefits: Comprehensive medical, dental, and vision coverage.Camaraderie: We enjoy team bonding and organize quarterly off-site events.Flexible Time Off: Take the time you need for a healthy work-life balance.

fractional-ai is looking for a Senior or Staff Software Engineer to join the San Francisco office. This position centers on building advanced AI solutions with a team that values both technical depth and collaboration. Role overview This role focuses on designing and developing AI-driven systems. The work involves solving technical challenges and contributing to projects that push the boundaries of what AI can achieve. Collaboration with other engineers and stakeholders is a key part of daily responsibilities. Who will thrive Experienced engineers with a strong background in software development Those who enjoy working on complex technical problems Individuals who value teamwork and open communication Location This position is based in the San Francisco office.

Our VisionAt ReflectionAI, we strive to create open superintelligence and ensure its accessibility for everyone.Our team is dedicated to developing open weight models for individuals, organizations, and even nations. Our collective expertise comes from leading AI institutions such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic, and more.Role OverviewConduct research and develop solutions focusing on algorithms, scaling laws, data processing, optimizers, and model architecture.Design and execute scientific experiments to enhance our understanding of scaling large language models and improving data efficiency.Apply cutting-edge techniques from the deep learning literature to our projects.Independently lead small research initiatives while collaborating on larger projects.Enhance our training infrastructure for optimal scaling efficiency.Contribute across the entire technology stack, from low-level optimizations to high-level model design.Your ProfilePossess a graduate degree (MS or PhD) in Computer Science, Machine Learning, or a related field.Demonstrate strong software engineering skills with experience in large-scale systems development.Have prior experience with large-scale ETL processes and preparing training data.Possess a deep understanding of large-scale machine learning, specifically regarding language models, distributed training, and scaling.Be proficient in Python and familiar with deep learning frameworks, preferably PyTorch.Effectively navigate the trade-offs between research goals and practical engineering challenges.Excel in a fast-paced, high-agency startup culture with a proactive approach.Exhibit strong communication skills and a collaborative mindset.Show a passion for pushing the boundaries of intelligence.What We Provide:We believe that building truly open superintelligence starts with a solid foundation. Joining ReflectionAI means being part of a tightly-knit, highly talented team, where you will help shape our future and redefine the landscape of open foundational models.

Join David AI as a Staff Product EngineerAt David AI, we are pioneering the field of audio data research, applying a rigorous R&D methodology to create robust datasets that empower AI models. Our vision is to integrate AI seamlessly into daily life, with audio serving as the key medium. As the demand for high-quality training data grows, we position ourselves as the solution.Founded in 2024 by a team of seasoned engineers from Scale AI, we quickly garnered the trust of leading FAANG companies and AI labs. Our recent $50M Series B funding round was led by prestigious investors including Meritech and NVIDIA, underscoring our potential in the audio AI landscape.We pride ourselves on our dynamic, collaborative, and ambitious team, and we are on the lookout for exceptional talent in research, engineering, product, and operations to help us redefine audio AI.About Our Engineering TeamOur engineering team is at the forefront of innovation, building the infrastructure, platforms, and models that convert raw audio into valuable data for top-tier AI labs and enterprises. We are a close-knit group of product engineers, infrastructure experts, and machine learning specialists who are dedicated to establishing the first-ever audio data research organization.We operate with agility, taking ownership of our projects from inception to deployment, delivering production-ready solutions on a daily basis. Our engineers design real-time pipelines that manage vast amounts of speech data while deploying advanced generative audio models.Your RoleAs a Staff Product Engineer, you will spearhead our Product Engineering team, developing state-of-the-art products that enable our clients to harness audio data effectively for model training. You will collaborate with researchers to continually refine our data collection methodologies.Your ResponsibilitiesLead the development of full-stack features, rapidly iterating to deliver daily innovations to our users.Construct scalable systems that process terabytes of audio data and extract actionable insights.Deploy and assess LLM- and DSP-based solutions to enhance customer understanding of their data.Facilitate research iterations and deployment interfaces for data collection in collaboration with researchers and operations.

Gimlet Labs is pioneering the creation of the first heterogeneous neocloud specifically designed for AI workloads. As the demand for AI systems continues to grow, the industry is encountering significant challenges related to power, capacity, and cost with current homogeneous, vertically integrated infrastructures. Gimlet tackles these limitations by decoupling AI workloads from their physical hardware, intelligently partitioning tasks into components and orchestrating them to the most suitable hardware, optimizing for performance and efficiency. This innovative approach facilitates the use of heterogeneous systems across multiple vendors and generations of hardware, including the latest cutting-edge accelerators, enabling substantial improvements in performance and cost efficiency at scale.Furthermore, Gimlet is developing a robust production-grade neocloud tailored for agentic workloads. Our customers benefit from deploying and managing their workloads seamlessly through stable, production-ready APIs, alleviating the need to focus on hardware selection, placement, or intricate performance optimizations.Collaborating with foundation labs, hyperscalers, and AI-native organizations, Gimlet powers real-world production workloads capable of scaling to gigawatt-class AI datacenters.Gimlet Labs is on the lookout for a Technical Staff Intern to assist in the development of our platform dedicated to deploying and monitoring AI workloads. In this role, you will leverage the latest AI methodologies to create frameworks that enhance and optimize AI workloads. You will play a vital role in advancing Gimlet’s unique compilation framework, facilitating the partitioning and orchestration of AI workloads across varied hardware environments. Your designs will lead to scalable systems capable of handling production workloads of millions of requests per second.

About UsXOXO is an innovative research lab dedicated to crafting intelligent interfaces that enhance everyday life. Our stealth team, composed of passionate engineers, designers, and researchers, is focused on solving unique challenges that go beyond the workplace.With recent advancements in infrastructure, architecture, and model layers, we are actively seeking skilled builders to create the application layer that will actualize our visionary concepts.About the RoleWe are on the lookout for a proficient iOS engineer to lead the development of XOXO’s consumer app, featuring a pioneering interface for intelligence. This position calls for a robust engineer capable of managing the entire mobile surface area, from architecture and performance to refining a visually appealing design system that ensures intentional user interactions.A specific background is not mandatory; what truly matters is your passion for ownership: you take charge, work swiftly without compromising quality, and aspire to create a mobile product that redefines craftsmanship and performance standards.What You’ll DoDesign and launch the initial versions of our React Native app, transitioning it from concept to production.Convert a visually rich design system into reusable components, motions, and interaction patterns with seamless performance.Develop new product interfaces that seamlessly integrate modern AI/ML capabilities in a mobile-friendly manner.Enhance app performance, focusing on rendering, startup, memory consumption, battery usage, and perceived speed.Establish high standards for mobile engineering quality (including testing, monitoring, and release management) while collaborating with various teams to ensure successful delivery.

About UsAt Parallel, we are a pioneering web infrastructure company dedicated to empowering businesses across various sectors, including sales, marketing, insurance, and software development. Our innovative products enable organizations to create cutting-edge AI agents with robust and flexible programmatic access to the web.Having successfully raised $130 million from esteemed investors such as Kleiner Perkins, Index Ventures, and Spark Capital, our mission is to reshape the web for AI applications. We are assembling a talented team of engineers, designers, marketers, and operational experts to help us achieve this vision.Job Overview: As a member of our technical staff, you will play a crucial role in building, operating, and scaling our infrastructure, particularly around large language models. Your responsibilities will include ensuring system reliability and cost-efficiency as we expand, anticipating potential bottlenecks, evolving our architecture to meet growing demands, and developing the tools that enhance engineering productivity.About You: You possess a deep understanding of distributed systems, cloud platforms, performance optimization, and scalable architecture. You are adept at balancing trade-offs between cost, reliability, and speed, and you are passionate about enabling teams to innovate rapidly and confidently while supporting products that serve millions of users seamlessly.

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.

Join Laurel as a Staff AI Platform Engineer, where you will be at the forefront of developing cutting-edge AI platforms that drive innovation and efficiency. In this role, you will collaborate with cross-functional teams to create scalable AI solutions that enhance our products and services.

Join Saris AI as a Staff Backend Software Engineer, where you will play a pivotal role in developing innovative solutions that harness the power of artificial intelligence. In this dynamic position, you will collaborate with cross-functional teams, design scalable systems, and contribute to the overall architecture of our backend solutions.

About Cogent SecurityCogent Security is an innovative Applied AI Lab pioneering the future of AI agents in the realm of cybersecurity. In a world where cyber threats evolve at unprecedented speeds, our 'AI Taskforce' analyzes vast amounts of enterprise data to proactively address vulnerabilities and avert critical breaches.We remain at the forefront of technology by merging cutting-edge research with practical applications. Our dedicated Cogent Research team fuels our mission, ensuring we develop truly effective security workflows powered by AI.Since our inception, Cogent has rapidly grown, collaborating with Fortune 500 companies to safeguard the most intricate production environments globally.Supported by Greylock, our team comprises some of the brightest minds in applied AI, including experts from:Renowned universities such as Stanford, Berkeley, Penn, Duke, Carnegie Mellon, and Waterloo.High-growth unicorn companies like Scale AI, Databricks, Stripe, Tesla, and Coinbase.Leading cybersecurity specialists from Wiz, Abnormal AI, and Zscaler.Prestigious research institutions including DeepMind and SAIL.About the RoleAs we embark on building a suite of backend services and integrations with our design partners, we seek passionate and skilled Backend Engineers at both Senior and Staff levels, eager to thrive in the Applied AI domain.ResponsibilitiesDesign and implement critical backend subsystems and integration platformsComprehend business objectives and customer requirements to engineer backend subsystems that align with our technology strategies.Adapt systems to meet evolving needs of design partners and clients.Incorporate non-functional requirements such as compliance and security into system design.Establish scalable infrastructure foundationsPrepare for future growth in customer base, headcount, and data management by collaborating with your team to enhance infrastructure.

ABOUT RETELL AIAt Retell AI, we are revolutionizing the call center experience using cutting-edge voice AI technology. In just 18 months since our inception, thousands of companies have leveraged our AI voice agents to streamline sales, support, and logistics operations that previously required extensive human teams. Supported by prominent investors such as Y Combinator and Alt Capital, we have grown from $5M to an impressive $36M ARR with a dedicated team of 20.Our ambitious vision for 2026 is to create a state-of-the-art customer experience platform where entire contact centers are driven by AI. Rather than relying on basic automation that necessitates constant human oversight, we are developing intelligent AI “workers” to function as frontline agents, QA analysts, and managers—constantly executing, monitoring, and enhancing customer interactions.As we rapidly expand, we seek passionate innovators eager to solve complex technical challenges, move swiftly, and make a meaningful impact at one of the fastest-growing voice AI startups. Join us in building the future!Ranked among the top 50 AI applications in the a16z list: https://tinyurl.com/5853dt2xRanked #4 on Brex's Fast-Growing Software Vendors of 2025: https://www.brex.com/journal/brex-benchmark-december-2025One of the top startups on the Leana I leaderboard: https://leanaileaderboard.com/THE ROLEWe are in search of a Principal/Staff Engineer to spearhead the technical direction of our core platform. This is an individual contributor role designed for someone who excels in uncertainty, acts swiftly, and elevates the standards of those around them.You will engage with various systems, infrastructure, and product surfaces while collaborating closely with engineering teams, product managers, and leadership to scale successful initiatives and innovate for the future.This role is not about merely addressing tickets; you will identify challenges, engineer solutions, and deliver impactful results.KEY RESPONSIBILITIESLead the design and evolution of our core platform and systems architecture.Oversee complex technical projects from inception to production.Make strategic technical decisions that optimize for speed, reliability, and scalability.Collaborate across teams to facilitate knowledge sharing and best practices.

Role overview MidiHealth is hiring a Staff Software Engineer - AI Engineer for a hybrid role in the San Francisco Bay Area. The position focuses on building and improving AI-powered solutions that contribute to better healthcare outcomes. What you will do Collaborate with cross-functional teams to design and implement AI-driven systems for healthcare. Develop scalable architectures and write efficient algorithms tailored to healthcare applications. Uphold strong software quality standards throughout the development lifecycle. Location This position is hybrid, with work based in the SF Bay Area.