Senior Gen AI Developer

Orion Innovation Naukri; India; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Orion Innovation Naukri is looking for a Senior GenAI Developer to design and build agentic AI systems. You will lead the architecture for LLM-powered agents, developing robust solutions across various functions including planning, tool use, and multi-agent coordination.

The ideal candidate will have over 6 years of software engineering experience, strong skills in Python, and a proven track record in building production LLM/GenAI systems.

Qualifications

• 6+ years software engineering experience; 2+ years in LLM/GenAI systems.
• Solid understanding of prompt management and mitigation strategies.
• Strong data/security instincts including secrets management.

Responsibilities

• Design and implement agentic systems including single and multi-agent architectures.
• Productionize GenAI services for APIs and performance optimization.
• Mentor engineers and contribute to architecture reviews.

Skills

Software engineering experience

Python programming

Building LLM/GenAI systems

Tool calling and planning

Docker/Kubernetes

Job description

We are looking for a Senior GenAI Developer to design, build, and productionize agentic AI systems—LLM‑powered agents that can plan, use tools, orchestrate workflows, and operate reliably under enterprise constraints. You will own key parts of the agent architecture (planning, tool use, memory, evaluation, safety/guardrails, and observability) and deliver end‑to‑end solutions across RAG, function/tool calling, multi‑agent coordination, and scalable deployment.

Key Responsibilities

• Design and implement agentic systems: single‑agent and multi‑agent architectures (planner/executor, supervisor‑worker, routing, reflection, critique, task decomposition).
• Build robust tool‑using agents: function calling, tool schemas, tool authorization, retries, rate limiting, and sandboxing.
• Implement RAG + memory patterns: retrieval strategies, hybrid search, context assembly, long‑term memory, and grounding/citation behaviors.
• Develop workflow orchestration for agent execution (state machines/graphs), concurrency controls, and deterministic execution where possible.
• Productionize GenAI services: APIs, background jobs, streaming responses, caching, and cost/latency optimization.
• Establish agent evaluation: golden sets, simulation‑based evals, LLM‑as‑judge with mitigations, task success metrics, regression testing.
• Build observability and safety: tracing, token/tool telemetry, anomaly detection, prompt injection defenses, data leakage prevention, policy enforcement.
• Collaborate with product, security, and platform teams to deliver enterprise‑ready solutions and integrate with internal systems (data, identity, workflow).
• Mentor engineers, set coding standards, and contribute to architecture reviews and technical roadmaps.

Required Qualifications

• 6+ years software engineering experience; 2+ years building LLM/GenAI systems in production.
• Strong programming skills in Python (required) and/or TypeScript/Node.js.
• Hands‑on experience building agents (tool calling, planning, routing, multi‑step workflows) beyond simple chatbots.
• Solid understanding of prompting, context window management, grounding, hallucination failure modes, and mitigation strategies.
• Experience with RAG: embeddings, vector databases, chunking strategies, hybrid retrieval, re‑ranking.
• Proven ability to ship production services: Docker/Kubernetes, REST/gRPC, CI/CD, monitoring, incident response basics.
• Strong data/security instincts: secrets management, PII handling, secure tool access, least privilege.