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

As a Software Engineer III AI Engineer at JPMorgan Chase within the Engineer's Platform & Integrated Experience (EPIX) organization, 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 firm’s business objectives. For this role you will build and deploy cutting edge Generative AI RAG and Agentic systems to augment processes for the software development lifecycle (SDLC) across the firm. 

Job responsibilities

 

Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Design, implement and deploy scalable data pipelines on distributed compute platforms Create and operate LLM fine tuning pipelines and services Deploy LLMs, Vector databases, and RAG systems as a service in production with scalability and security requirements Create and operate Generative AI benchmarking systems to enhance the understanding of various LLM and Agentic system capabilities

 

 

Required qualifications, capabilities, and skills

 

Formal training or certification on software engineering concepts and 3+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Highly capable with Kubernetes, Helm, Docker and container based application deployments Strong experience with enabling and executing distributed compute for data engineering and AI/ML training/fine tuning Experience with AI/ML Ops tools, experiment tracking, model lifecycle and governance best practices Experience with open-source frameworks: Ray, Spark, PyTorch, LlamaIndex, LangChain

 

 

Preferred qualifications, capabilities, and skills

 

Experience with Vector datastores, Chroma, Elastic, DeepLake Some experience with NLP projects using prompt engineering, prompt based learning, Chain-Of-Thought techniques Knowledge of various LLM fine tuning techniques: SFT, RLHF, DPO, Lora, Quantization