Engineering
Context Engineer
We are seeking a Context Engineer to design, build, and optimize the systems that provide high-quality context to AI models. This role sits at the intersection of software engineering, data systems, and applied AI. You will be responsible for ensuring that AI systems receive the right information, in the right format, at the right time—enabling more accurate, reliable, and useful outputs. Context Engineers play a critical role in shaping how large language models (LLMs) and AI agents interact with data, tools, and users.
About the role
What you'll do
We are seeking a Context Engineer to design, build, and optimize the systems that provide high-quality context to AI models. This role sits at the intersection of software engineering, data systems, and applied AI. You will be responsible for ensuring that AI systems receive the right information, in the right format, at the right time—enabling more accurate, reliable, and useful outputs.
You will work closely with our AI, product, and infrastructure teams. The systems you ship will run inside the largest data environments in the world.
Day to day
Key Responsibilities
- Design and maintain pipelines that retrieve, filter, and structure context for AI systems
- Build and optimize retrieval-augmented generation (RAG) systems
- Develop strategies for prompt construction, memory management, and context window optimization
- Integrate structured and unstructured data sources (databases, APIs, documents, knowledge bases)
- Collaborate with ML engineers to improve model performance through better context delivery
- Implement evaluation frameworks to measure context quality and downstream impact
- Optimize latency, cost, and scalability of context delivery systems
- Ensure data relevance, freshness, and security in all context pipelines
- Debug and analyze model failures related to missing or incorrect context
What we're looking for
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience)
- Strong programming skills in Python (or similar language)
- Experience with APIs, distributed systems, and backend development
- Familiarity with databases (SQL and NoSQL) and data modeling
- Understanding of LLMs and prompt engineering concepts
- Experience with vector databases (e.g., Pinecone, Weaviate, FAISS)
- Knowledge of information retrieval, embeddings, and semantic search
- Strong problem-solving and system design skills
Bonus
Nice to have
- Context modeling and system design
- Data pipeline architecture
- Prompt engineering and experimentation
- Debugging AI behavior through context analysis
- Performance optimization (latency, throughput, cost)
- Cross-functional collaboration
Hiring Process
How we'll get to know each other
We aim to wrap up most loops within two to three weeks. We'll respect your time and give you direct feedback.
Intro Call
30 minutes with a recruiter to align on the role and your goals.
Hiring Manager
60 minutes on technical depth, scope, and motivation.
Technical Loop
Two to three sessions covering systems design, coding, and collaboration.
Final Conversation
Meet a senior leader; discuss offer, compensation, and next steps.
Apply
Sound like a fit?
We'd love to hear from you. Tell us about a system you've built — the harder the problem, the better.
Careers
Help Build the Infrastructure for the AI Era
We're building the systems that allow organizations to operate with real-time intelligence. Join us and help define how modern enterprises work.
Why We Exist
Why We Exist
The modern data stack was designed for human interpretation. The next generation of systems must support intelligent execution.
At DataGOL, we're building infrastructure that enables governed AI systems to operate safely, transparently, and at scale. Our work impacts how organizations make decisions, deploy automation, and create value.
This is foundational work — and we're just getting started.
What it's like to work here
A Culture Built on Ownership and Curiosity
Build With Purpose
Work on systems that matter to real businesses.
Move Fast, Ship Often
Ideas turn into working systems quickly.
Think Deeply
We value thoughtful engineering and strong reasoning.
Learn Constantly
Technology evolves — and so do we.
Who Thrives Here
We Look for Builders
You'll likely thrive here if you:
- Enjoy solving complex technical problems
- Take ownership of outcomes
- Value clarity and structured thinking
- Want to work close to real-world systems
- Prefer building over maintaining legacy tools
Open Positions
Open Positions
Every role is fully remote unless noted. We hire globally where we can legally employ.
6 open roles
Software Engineer — Data Systems
Build the distributed data plane that powers DataGOL's governed execution layer.
AI Engineer — Agent Workflows
Design and ship the multi-agent orchestration that turns prompts into governed actions.
Product Engineer
Own end-to-end product surface area, from API to interface.
Solutions Architect
Partner with enterprise customers to deploy DataGOL on real infrastructure.
Developer Relations Engineer
Build the public surface of DataGOL — docs, samples, and developer programs.
Technical Account Manager
Make every deployment a long-term partnership.
What We Offer
Benefits That Match the Work
Competitive Compensation
Salary, equity, and performance bonuses calibrated to senior-market rates.
Flexible Work
Remote-first by default, with optional hubs and quarterly offsites.
Health & Wellness
Premium medical, dental, vision, and a wellness stipend that fits your life.
Learning Budget
Annual development budget for books, courses, conferences, and tools.
High-Impact Work
Small teams, large surface area — your work ships and matters quickly.
Time to Recharge
Generous PTO, paid parental leave, and company-wide reset weeks.
How We Hire
How We Hire
We look for people who can think clearly, communicate precisely, and build systems that last. Interviews focus on reasoning, problem-solving, and collaboration — not memorization.
Apply Now
Join Us in Building What Comes Next
If you're excited about building the systems that power modern organizations, we'd love to hear from you.