AI Engineer
First seen by Alion on Oct 26, 2026.
About NAVEX :
At NAVEX, we're transforming the world - making it safer, more ethical, and ensuring every voice is heard. That's real impact.
Our high-performance culture is driven by our values. We move with speed, passion and purpose - as one team. We are bold in our ideas, accountable in our actions, and committed to doing the right things right.
You'll thrive in this hybrid role surrounded by an engaged, collaborative team deeply committed to innovation, speed, and measurable outcomes. Join us and help shape what's next!
What you'll get :
- Meaningful Purpose : Your work helps organizations operate with integrity and protect their people - at a scale few companies can match.
- High-Performance Environment : We move with urgency, set ambitious goals, and expect excellence. You'll be trusted with real ownership and supported to do the best work of your career.
- Candid, Supportive Culture : We communicate openly, challenge ideas - not people - and value teammates who embrace bold thinking and continuous improvement.
- Growth That Matters : You can count on authentic feedback, strong accountability, and leaders invested in your success so you can achieve real growth.
- Rewards for Results : We provide clear, competitive compensation designed to recognize measurable outcomes and real impact.
What you'll do :
- Build and ship agents for business operations and internal products.
- End to end : retrieval, tool use, orchestration, state, and handoffs to human.
- Build MCP servers and tool integrations that give agents safe, reliable access to company systems and data.
- Design the eval harness : Golden sets, regression suites, LLM-as-judge where it earns its place, human review loops. Every change ships with evidence that it made things better.
- Instrument agents in production : Tracing, failure taxonomies, cost and latency tracking. When something degrades, you find out first and know why.
- Take over agents built by external partners : Read the code, find where it breaks, add the evals and observability it shipped without.
- Hold a verification bar : In a compliance company, an answer we can't source or explain doesn't ship.
What you'll bring :
- 3+ years of AI engineering experience, most of it building LLM systems that real users depend on.
- Hands-on experience building with agentic harnesses such as Claude Code, Codex, or similar.
- You've built MCP servers, eval harnesses or LLM Systems, not just used them and can explain how you knew a change was an improvement.
- You've owned a system that degraded in production and diagnosed why, and can walk us through it.
- Strong Python : Comfortable with at least one agent framework, and willing to go below it when it gets in the way.
- Experience deploying on a major cloud provider : AWS, GCP or Azure.
- You've shipped end-to-end and own outcomes, not just tasks.
- You can take a non-technical team's workflow and turn it into a working system.
Bonus points :
- Building RAG over messy enterprise documents - proposals, contracts and policies.
- Working with AWS Bedrock or inside VPC-constrained enterprise environments.
- Building in regulated or compliance-heavy domains.
- Sharing your work through writing, talks or open source.
Culture & Performance :
- Culture Agility : Comfort working in a fast-paced, candid environment that values innovation, healthy debate, and follow-through.
- Fuel performance and outcomes : Leverage your job competencies and champion NAVEX's core values.
Our side of the deal :
We'll be clear, we'll move fast, and we'll invest in your success. You deserve to be supported, challenged, and rewarded for the impact you make - and we commit to doing that every step of the way.
The starting pay for this role is 3,000,000 INR with 10% MBO. Discover how you can grow, lead, and make an impact by visiting our career page to learn more. NAVEX is an equal opportunity employer committed to including individuals of all backgrounds, including those with disabilities and veteran status.
Skills
Artificial Intelligence, LLM, Claude, Python, Cloud, RAG, AWS, AI Integration