JP Morgan Services India Pvt Ltd

Lead Software Engineer - Python and AI

JP Morgan Services India Pvt Ltd
Bengaluru/Bangalore
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 5 yearsMin. 5 years

Job Description

Lead Software Engineer - Python and AI

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. 

As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank, Post-Trade Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. 

Job responsibilities
  • Designs and builds production-grade agentic AI systems including LLM orchestration layers, RAG pipelines, vector databases, and MCP-based tool integrations
  • Develops and reviews secure, high-quality code and debugs solutions written by team members or generated by AI models
  • Architects multi-agent and single-agent setups, authors skill files, and writes
    technical RFCs for new AI capabilities
  • Contributes to cloud-native deployments (AWS ECS), CI/CD pipelines, and infrastructure modernisation alongside platform engineering squads
  • Builds and iterates on agentic patterns — multi-hop agents, vector search, automated
    code generation — from POC through UAT to full production rollout
  • Translates regulatory operations and business requirements into precise technical designs and delivers against quarterly commitments
  • Identifies opportunities to automate recurring operational issues, reducing manual toil and improving platform stability
  • Participates actively in sprint ceremonies, code reviews, and architecture discussions as a senior technical contributor
  • Contributes to an internal developer productivity accelerator as a technical mentor and active builder across 10+ cross-functional teams
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. 

 

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years of applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  •  Advanced proficiency in Python; strong object-oriented programming fundamentals
  • Proven experience building and deploying LLM-based or agentic AI systems in production
  • Deep understanding of RAG architecture, vector databases, and AI agent frameworks (e.g., LangGraph, MCP) Proficiency in automation and continuous delivery methods (CI/CD, DevSecOps)
  • Proficient across all phases of the Software Development Life Cycle. Advanced understanding of agile methodologies and application resiliency patterns
  • Practical cloud-native experience on AWS (ECS, Lambda, S3 or equivalent)
  • Strong analytical and problem-solving skills with ability to break down complex
    technical problems independently
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practice


Preferred Qualifications, Capabilities, and Skills

  • Experience with post-trade financial platforms (e.g., Athena, Quartz, SecDB)
  • In-depth knowledge of financial services industry IT systems, trade reconciliation and regulatory reporting workflows
  • Experience with AI / ML / Vibe coding and agentic development workflows
  • Knowledge of distributed computing, data modeling, and performance engineering
  • Familiarity with data lineage, data contracts, and data governance frameworks
  • Experience with ServiceNow, Jira, or Confluence API integrations
  • Regression testing and observability tooling experience in large-scale platforms

Job role

Work location
Work locationBengaluru, 33437-Embassy Tech Village - Parcel, Ground to Fifth Floor G,H Block, EMBASSYTECH VILLAGE-PARCEL 5 OUTER RING RD DEVERABEESANAHALLI VILLA, Bengaluru, Karnataka, India
Department
DepartmentSoftware Engineering
Role / Category
Role / CategorySoftware Development
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 5 years

About company

Name
NameJP Morgan Services India Pvt Ltd
Job posted by JP Morgan Services India Pvt Ltd

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