> Markdown version of [/jobs/ext/2448012-software-engineer-agents](https://www.wearedevelopers.com/jobs/ext/2448012-software-engineer-agents). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - Agents - **Company:** Nebulock Inc. - **Location:** Boston, MA, United States (Remote available) - **Experience:** Expert - **Salary:** $180,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Data Structures, Graph Database, Python (Programming Language), Software Engineering, Rust (Programming Language), Large Language Models, Backend, Golang - **Published:** August 22, 2026 - **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/senior-software-engineer-agents/10786568 ## About the Role * 4+ years software engineering experience with 1+ years building customer-facing agentic systems in production * Strong backend software engineering fundamentals * Proficiency in Python, Java, Go, Rust, or similar * Strong understanding of agentic architectures and their tradeoffs * Experience designing, building, and evaluating production RAG systems * Strong experience with agent evals and agent observability * Experience with either AWS or GCP * Ability to adapt, iterate, and ship quickly * Hunger for growth and the desire to work in a low-ego environment * Able to stay up to date with the newest advancements in the LLM and agent space while maintaining a relentless focus on delivering customer value Nice to Haves * Cybersecurity experience * Startup experience * Experience with graph databases * Experience evaluating the performances of different LLMs ## Description As a Senior Backend Engineer - Agents at Nebulock, you will work on the agent infrastructure and platforms upon which our agents are built, as well as the agents that power our product. You'll co-own our TRACE Graph and other knowledge stores, ensuring our agents continuously adapt to feedback and learn. This role is ideal for engineers who are relentless about iterating and improving upon non-deterministic, agentic systems. This role will collaborate closely with our detection engineers and threat hunters to ensure that we are encoding their domain expertise into our agents. Expected Impact * Continuous iteration, evaluation, and cross-team collaboration to ensure that our agents are behaving like the expert detection engineers and threat hunters on staff at Nebulock * Design, build, and maintain scalable data structures that are optimized for our agents (our TRACE graph, embeddings, semantic search etc.) * Ensure that our agents are behaving safely and as expected * Build and maintain automated evaluations and benchmarks for our agents to ensure that we can iterate quickly while not having regressions * Provide feedback and guidance to other engineers who are working on agents at Nebulock * Step in to work on additional backend systems as needed (we are a startup and flexibility is key to our success) ## Related Videos - [Agentic AI: building autonomous systems for developers](https://www.wearedevelopers.com/videos/100034-agentic-ai-building-autonomous-systems-for-developers) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Graphs and RAGs Everywhere... But What Are They? - Andreas Kollegger - Neo4j](https://www.wearedevelopers.com/videos/1311-graphs-and-rags-everywhere-but-what-are-they-andreas-kollegger-neo4j) - [When Should You Use an Agent? Architectural Trade-offs in Agentic Systems](https://www.wearedevelopers.com/videos/100109-when-should-you-use-an-agent-architectural-trade-offs-in-agentic-systems) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [A 5-Step Open-Source Setup for Agentic Engineering](https://www.wearedevelopers.com/magazine/738-a-5-step-open-source-setup-for-agentic-engineering) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)