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Context Labs Jobs (NOW HIRING)

Astera Labs

AI/ML Engineer

San Jose, CA · On-site

$140K - $165K/yr

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity ... You will be expected to think end-to-end: prompt and context design, retrieval quality, tool ...

Judgment Labs

Operations Lead

San Francisco, CA · On-site

Judgment Labs builds infrastructure for Agent Behavior Monitoring (ABM). While traditional ... context retrieval loss in scaled production environments. Hundreds of teams building autonomous ...

Stylitics

Senior AI Software Engineer, Labs

$125K - $165K/yr

About Stylitics AI Labs Stylitics AI Labs is Stylitics' innovation division, launched in 2026 to ... Context engineering to determine the right data to surface to LLMs and agents * Agentic workflow ...

Ellipsis Labs, Inc

Senior Product Engineer

New York, NY · On-site

$170K - $250K/yr

Ellipsis Labs is a profitable, venture-backed New York-based startup building sustainable and ... Ability to make informed product decisions based on relevant business context * Deep respect and ...

Stylitics

AI Software Engineer, Labs

AI Labs delivers production-ready systems in 90-day sprints, structured across three phases: Domain ... Context engineering to determine the right data to surface to LLMs and agents * Agentic workflow ...

10a Labs

AI Red Teamer

Washington, DC · On-site

$70K - $90K/yr

About 10a Labs: 10a Labs is the safety and threat-intelligence layer trusted by frontier AI labs ... Ability to rapidly context switch across domains, modalities, and abuse areas. * Excited to work in ...

Ellipsis Labs, Inc

Senior Backend Engineer

New York, NY · On-site

$170K - $250K/yr

Ellipsis Labs is a profitable, venture-backed New York-based startup building sustainable and ... Ability to make informed engineering decisions based on relevant business context * A demonstrated ...

Uniswap Labs

Senior Product Designer

New York, NY · On-site

$172K - $215K/yr

Uniswap Labs is a core contributor to the Uniswap Protocol, the world's largest DEX, with over $4 ... A strong desire to design within the context of web3/blockchain/decentralized finance.

Savas Labs

Senior Sales Engineer

Manhattan, NY · On-site

Job Summary : Savas Labs is hiring a Senior Sales Engineer who owns a piece of our outbound new ... context • You must be authorized to work in the US; we're unable to provide visa sponsorship ...

Polygon Labs

Senior Application Security Engineer

About Polygon Labs Polygon Labs is a global blockchain payments company building and operating ... context, and gets smarter with each deployment * Design and maintain specialised AI-powered code ...

Uniswap Labs

Senior Brand Designer

New York, NY · On-site

$152K - $190K/yr

Uniswap Labs is a core contributor to the Uniswap Protocol, the world's largest DEX, with over $4 ... Ability to context-switch and manage multiple projects simultaneously * Ability to pivot quickly to ...

Stylitics

Senior AI Software Engineer, Labs

$125K - $165K/yr

AI Labs delivers production-ready systems in 90-day sprints, structured across three phases: Domain ... Context engineering to determine the right data to surface to LLMs and agents * Agentic workflow ...

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Context Labs information

What is the difference between Context Labs vs Data Scientist?

AspectContext LabsData Scientist
Required CredentialsTypically requires a background in computer science, data analysis, or related fields; certifications in data management or AI are commonRequires a degree in statistics, computer science, or related fields; certifications in data analysis or machine learning are beneficial
Work EnvironmentOften works in research labs, tech companies, or industry-specific settings focusing on AI and data integrationWorks across industries in tech, finance, healthcare, analyzing data to inform business decisions
Employer & Industry UsageUsed by companies developing AI solutions, data platforms, and innovative tech productsEmployed by a wide range of industries to interpret complex data and build predictive models

While both roles involve working with data, Context Labs focuses on developing AI and data integration solutions, often in research or tech environments. Data Scientists analyze data to generate insights and build models across various industries. Understanding these differences helps in choosing the right career path or job search focus.

More about Context Labs jobs
What cities are hiring for Context Labs jobs? Cities with the most Context Labs job openings:
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Context Labs jobs near you
Infographic showing various Context Labs job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.
AI/ML Engineer

AI/ML Engineer

Astera Labs

San Jose, CA • On-site

$140K - $165K/yr

Full-time

Posted 4 days ago

Job description

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com.
AI/ML Engineer
Location: San Jose, CA
Experience: 1-5 years
Team: Applied AI
The role
We're hiring an AI/ML Engineer to build production AI systems for technical users. This is an applied engineering role for someone who can take modern model capabilities and turn them into reliable systems that people actually use.
The core problems in this role are the same ones that matter in modern applied AI: getting the right context into the system, making tool use reliable, designing useful abstractions around skills and workflows, building evals that reflect real tasks, and iterating until the system is good enough to become part of a team's daily workflow.
In practice, you might work on coding agents in terminal and IDE environments, verification and debug assistants, log-analysis systems tied to real product diagnostics, documentation and spec-comparison agents, or internal assistants that operate over company knowledge and engineering data. You will be expected to think end-to-end: prompt and context design, retrieval quality, tool interfaces, evals, failure modes, deployment, and ongoing improvement.
What you'll do
  • Build AI applications and agentic workflows for engineering productivity, diagnostics, search, documentation, and workflow automation.
  • Design systems that combine LLMs with retrieval, tool use, structured outputs, and evaluation loops.
  • Integrate models with internal tools, APIs, CLIs, MCP interfaces, and operational workflows so they can do useful work in real environments.
  • Improve system quality through eval design, prompt and context iteration, model selection, failure analysis, and human feedback.
  • Build reusable skills, workflows, and abstractions so useful capabilities can be shared across agents and teams instead of rebuilt from scratch.
  • Work closely with infrastructure and domain teams to deploy, monitor, and continuously improve AI systems in production.
What we're looking for
  • 1-5 years of experience in software engineering, applied AI, ML engineering, or related backend/platform roles.
  • Strong Python skills and strong production engineering fundamentals.
  • Hands-on experience building AI/LLM applications, agents, retrieval-backed systems, or workflow automation.
  • Comfort working with tool-using systems where correctness depends on context quality, tool integration, and careful failure handling.
  • Experience with AWS or GCP and the realities of deploying and debugging production AI services.
  • Good judgment around evals, failure modes, latency/cost tradeoffs, and safe rollout of non-deterministic systems.
  • Clear communication and the ability to turn ambiguous technical workflows into robust product behavior.
What strong candidates often look like
They have built more than demos. They have worked on systems where retrieval quality matters, where tool use can fail in subtle ways, where evaluation changes engineering decisions, and where product usefulness depends as much on system design as on model choice. They usually care about the details that separate a clever prototype from a dependable system.
Why this role is interesting
The team's direction is very concrete: enterprise search, coding agents, workspace automation, customized skills, and agentic applications for specific engineering problems, all measured against real usage and outcomes. This role sits directly in that path. If you want to build applied AI systems that are ambitious but grounded in real workflows, technical users, and fast feedback loops, this is that job.
The base pay range for this position is $140,000 - $165,000
We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.

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