AI Developer

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

As a Software Engineer III at JPMorganChase within the Community & Consumer Bank - CX Loyalty Travel team you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure stable and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams contractors and vendors
• Develops secure and high-quality production code and reviews and debugs code written by others
• Drives decisions that influence the product design application functionality and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks tools and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of opportunity inclusion and respect
• Ability to tackle design and functionality problems independently with little to no oversight
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality delivery speed and productivity across complex deliverables (e.g. code generation/refactoring unit test creation documentation) while validating outputs through peer review automated testing and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• 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 applied experience
• Advanced in programming languages Java Python or
• Strong proficiency with RAG architectures chunking strategies embedding models vector stores (Pinecone OpenSearch pgvector FAISS)
• Experience with AI orchestration frameworks: LangChain LlamaIndex Semantic Kernel or CrewAI
• Hands-on experience with AWS Bedrock Anthropic Claude models and model invocation APIs
• Proven prompt engineering skills system prompts few-shot chain-of-thought tool use structured outputs
• Experience building conversational AI: chatbots (text) and voicebots (speech-to-text text-to-speech integration)
• Proficiency with AWS services (Lambda Step Functions API Gateway S3 DynamoDB SQS)
• Experience with CI/CD pipelines containerization (Docker ECS/EKS) and infrastructure-as-code
• Strong understanding of API design (REST GraphQL) microservices architecture and event-driven systems
• Familiarity with evaluation frameworks for LLM outputs. Experience with guardrails content filtering and responsible AI practices
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g. for coding test creation troubleshooting or documentation) with demonstrated ability to critically evaluate validate and refine AI-generated outputs for correctness performance and security.
• Understanding of responsible AI use in engineering workflows including data sensitivity considerations secure handling of inputs/outputs and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices

Preferred qualifications capabilities and skills

• Financial Services industry experience