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 Sales Assistant Technology 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 firm’s business objectives.
You'll be part of the team to build Markets Sales AI Platform to on-board agentic workflows into our system in a federated way, turning frontier GenAI capabilities into reliable, high-leverage agentic systems that transform how we respond to inbound client requests.
Job responsibilities
Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
Build agentic platform with UI, orchestration, routing, memory, training ground and evaluations frameworks end-to-end: design, prototype, and productionize multi-step LLM agents that retrieve context and generate accurate, well-structured responses
Drive applied AI by evaluating emerging techniques (tool use, planning, retrieval, evaluation frameworks, fine-tuning, prompt optimization) and integrating the best into production
Improve quality systematically via evals, error analysis, and feedback loops that convert subjective issues into measurable fixes
Partner cross-functionally with quant research, product, and engineering to understand their agents and provide solutions on-board on to our platform in a federated way.
Build and maintain production-grade code and systems that are observable, robust, and scalable
Contribute to technical direction and standards for agent design, evaluation, and safe deployment
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
Required qualifications, capabilities, and skills
Formal training or certification on infrastructure engineering concepts and 3+ years applied experience
Degree in Computer Science, Data Science, Machine Learning or related field or equivalent experience
Strong coding skills (Python) and comfort owning production code
Hands-on experience in AWS, ECS, Bedrock, OpenSearch, Vector dbs and PostGres
Familiarity with evaluation frameworks, LLM observability, or fine-tuning open-weight models
Hands-on experience building with LLMs (agent frameworks, tool use, RAG, prompt engineering, evals)
Strong understanding of modern GenAI capabilities, failure modes, and practical mitigation strategies
Strong ownership and drive mindset with a focus on improving what’s broken with clear design principles
Preferred qualifications, capabilities, and skills
OpenSearch, Vector dbs and Postgres nice to have
About the company
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the team
J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Summary
Build and productionize multi-step LLM agents and agentic workflows for a Markets Sales AI Platform, integrating retrieval, tool use, and evaluation frameworks. Requires 3+ years of applied experience, a degree in CS/DS/ML or equivalent, strong Python skills, and hands-on experience with AWS, ECS, Bedrock, OpenSearch, vector databases, and PostgreSQL.
Responsibilities
Execute software solutions, design, development, and technical troubleshooting; build agentic platform with UI, orchestration, routing, memory, training ground and evaluations frameworks end-to-end; drive applied AI by evaluating emerging techniques and integrating the best into production; improve quality via evals, error analysis, and feedback loops; partner cross-functionally with quant research, product, and engineering; build and maintain production-grade code and systems; contribute to technical direction and standards; produce architecture and design artifacts; gather, analyze, synthesize, and develop visualizations and reporting from large data sets; proactively identify hidden problems and patterns in data
Qualifications
Formal training or certification on infrastructure engineering concepts and 3+ years applied experience; degree in Computer Science, Data Science, Machine Learning or related field or equivalent experience; strong coding skills (Python); hands-on experience in AWS, ECS, Bedrock, OpenSearch, Vector dbs and PostGres; familiarity with evaluation frameworks, LLM observability, or fine-tuning open-weight models; hands-on experience building with LLMs (agent frameworks, tool use, RAG, prompt engineering, evals); strong understanding of modern GenAI capabilities, failure modes, and practical mitigation strategies; strong ownership and drive mindset
Education requirements
Degree in Computer Science, Data Science, Machine Learning or related field or equivalent experience
Experience requirements
Formal training or certification on infrastructure engineering concepts and 3+ years applied experience
Benefits
comprehensive health care coverage; on-site health and wellness centers; retirement savings plan; backup childcare; tuition reimbursement; mental health support; financial coaching