Lead AI Engineer — Agent Framework & Agentic Applications
Build Ionixx's standardized agent framework — and the agents that run on it.
Role
Lead AI Engineer — Agent Framework & Agentic Applications
Team
Engineering
Location
Chennai – Work from Office
Type
Full-time
Level
Lead 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 6–12 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.
Pay: ₹3,000,000.00 - ₹4,000,000.00 per year
Work Location: In person
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