JOB DESCRIPTION

We have an exciting and rewarding prospect for you to take your software engineering career to the next level.

Responsibilities:
Build and productionize agentic AI solutions including agents, orchestrators, tool/function integrations, workflow/state management, and guardrails
Design and develop Python and Java services (microservices and shared libraries) with solid API contracts and domain-driven design where applicable
Architect and manage data pipelines, embeddings, and vector stores that power RAG and other AI capabilities, including prompt versioning, templating, and optimization for reliability
Build evaluation and observability frameworks to monitor AI system performance, including hallucination detection, latency, accuracy, and user feedback loops
Deliver AI-enabled business UI experiences in partnership with product and UX, ensuring usability, performance, and accessibility
Establish and maintain MLOps practices for AI model deployment, including CI/CD pipelines, model versioning, and infrastructure-as-code for AI workloads




Collaborate with security, risk, and controls partners to ensure solutions meet governance and compliance expectations for AI-enabled systemsRequired qualifications, capabilities, and skills:
Formal training or certification on software engineering concepts and 8+ years of applied experience in software engineering, with demonstrable depth in AI/ML systems
Advanced proficiency in Python, with strong experience in at least one additional programming language (e.g., Java)
Hands-on experience building and productionizing agentic AI systems, including multi-agent orchestration using frameworks such as LangChain, LangGraph, or equivalent
Practical understanding of LLM orchestration, retrieval-augmented generation (RAG), tool calling, prompt engineering, and energetic reasoning
Hands-on experience with AI coding tools (Claude Code, Copilot, or similar) — you know when they accelerate work and when hu

📌 Lead Software Engineer Bengaluru (India)
🏢 JPMorganChase
📍 India