JOB DESCRIPTION

We have an exciting and rewarding opportunity 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 systems Required 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 robust 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 dynamic reasoning

- Hands-on experience with AI coding tools (Claude Code, Copilot, or similar) — you know when they accelerate work and when human judgment is critical

- Strong experience with cloud services (AWS)

Preferred qualifications, skills, and capabilities :

- Experience architecting solutions where AI tools handle implementation while you focus on business logic and edge cases
- Track record of rapid prototyping and iteration in ambiguous problem spaces
- Experience building with LLMs as development partners, not just API integrations
- Proficiency in graph database query languages such as Cypher, Gremlin, or SPARQL
- Knowledge of database technologies such as SQL, NoSQL, and ORM frameworks
- Experience with MLOps tooling, model versioning, and AI deployment pipelines
- Familiarity with vector databases (e.g., OpenSearch,FAISSDB) and embedding management

**ABOUT US

📌 Lead Software Engineer - Applied Ai Engineer (Agentic/ Gen Ai) (Bengaluru)
🏢 JPMorganChase
📍 Bengaluru