AI Lead Engineer

IONIXX • JOB DESCRIPTION
Lead AI Engineer Agent Framework & Agentic Applications
Build Ionixx's standardized agent framework and the agents that run on it.
RoleLead AI Engineer Agent Framework & Agentic ApplicationsTeamEngineeringLocationChennai Work from OfficeTypeFull-timeLevelLead Engineer
About the Role
Build the Agent Framework
Architect and build the framework the orchestration engine, a model-agnostic multi-LLM layer with routing and fallback, memory and state management, and a standard tool/integration layer (including MCP).
Bake in the standard capabilities guardrails and security, observability and evaluation, human-in-the-loop approvals, cost governance, and lifecycle/versioning so every agent inherits them by default.
¢ Create reusable building blocks templates, SDKs, and a clean developer experience so new agents are a thin layer of business logic, not a bespoke rebuild.
¢ Set the standards patterns, guardrail policies, evaluation practices, and documentation that internal and client teams follow.
Develop Agents
¢ Design, build, and ship production agents on the framework for real business use cases.
¢ Ground agents in knowledge (RAG) retrieval over vector stores, context and prompt engineering, and integration with real systems (e.g., source control, ticketing, internal apps).
¢ Evaluate and continuously improve build eval datasets, automated scoring (including LLM-as-judge), and regression testing; use production traces to drive quality up.
¢ Ship safely versioning, staged/canary rollout, and rollback, with agents observable and cost-controlled in production.
Lead & Collaborate
¢ Provide technical leadership mentor engineers, review designs and code, and grow agent-development capability across the team.
What We're Looking For
¢ Experience: 8+ years in software engineering, with recent hands-on experience building and shipping LLM / agent applications to production.
¢ Machine learning: a solid grounding in ML fundamentals model behaviour, evaluation, and data. Enough to reason about LLM capabilities, limits, and fine-tuning trade-offs (applied ML/NLP or MLOps experience a strong plus).
¢ Programming: Strong Python (TypeScript/Node a plus); solid software-engineering fundamentals, system design, and API design.
¢ Agent frameworks: Hands-on with an agent-orchestration framework (e.g., LangGraph / LangChain, or equivalent) and LLM provider APIs (Anthropic Claude, OpenAI, and others), including open-weight models.
¢ Grounding & RAG: Retrieval-augmented generation, vector databases (e.g., pgvector, Pinecone, Chroma), embeddings, prompt and context engineering.
¢ Observability & evals: Experience tracing and evaluating LLM apps (e.g., LangSmith, Langfuse, OpenTelemetry) and building evaluation/regression harnesses.
¢ Safety & security: Understanding of LLM-app risks prompt injection, data leakage, least-privilege tool access and how to guard against them.
¢ Platform: Cloud (AWS/GCP/Azure), containers, CI/CD, and building reliable, reusable services or SDKs.
¢ Leadership & communication: Ability to set technical direction, mentor, and communicate clearly with both engineers and business stakeholders.
Nice to Have
¢ Experience with the Model Context Protocol (MCP) and building/integrating tool servers.
¢ Multi-agent orchestration, agent memory systems, and cost-optimization (model routing, prompt caching).
¢ Self-hosting or fine-tuning open-weight models; MLOps / LLMOps experience.
¢ Client-facing or consulting background; ability to shape and demo solutions for prospects.
¢ Domain exposure relevant to Ionixx's clients (e.g., fintech, healthcare) and open-source contributions.
What Success Looks Like (First 612 Months)
¢ A first version of the Agent Framework in place, with the standard capabilities usable by other engineers.
¢ One or more internal agents running on the framework for real work and demoable to prospects.
Why Ionixx
¢ Own a high-visibility, strategic initiative from the ground up real scope and real impact.
¢ Work at the frontier of agentic AI, across internal products, demonstrations, and client delivery.
¢ Shape the standards and reusable IP that define how Ionixx builds agents.

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