AI Software Engineer - Fixed Income Technology

Key Responsibilities

• Evaluate, design and architect AI Tooling for production use cases within the Fixed Income business solving real-world business problems
• Build and maintain end-to-end AI powered solutions covering data ingestion, feature engineering, model training, evaluation, and deployment
• Integrate large language models (LLMs) and foundation models into product features, including prompt engineering, fine-tuning, and RAG architecture
• Partner with the FI business users to design and build agentic workflows
• Collaborate with data engineers to ensure high-quality, well-structured training datasets and feature stores
• Write clean, well-tested, and well-documented code following engineering best practices
• Participate in code reviews, design discussions, and knowledge-sharing sessions with the broader engineering team
• Stay current with advances in AI/ML research and evaluate emerging tools, frameworks, and techniques for adoption

Required Qualifications

• Bachelor's or master’s degree in computer science, Machine Learning, or a related quantitative field
• 5+ years of professional software development experience, with 6-12 months focused on building and deploying AI solutions in production environments
• Strong proficiency in Python and AI/agentic frameworks, including LangChain and LangGraph
• Proven ability to design, build, and architect production-grade agentic workflows and enterprise AI systems using LLMs
• Proficiency in SQL and Snowflake; comfort working with APIs and data pipelines
• Hands-on experience with cloud platforms (AWS or Azure), including native AI services such as Azure AI Foundry, AWS Bedrock, and MCPS
• Solid software engineering fundamentals — version control (Git), CI/CD, testing, and containerization (Docker)
• Strong problem-solving skills with the ability to translate ambiguous business requirements into scalable technical solutions
• Experience with prompt engineering and retrieval-augmented generation (RAG)

Preferred Qualifications

• Experience with fine-tuning techniques (LoRA, RLHF)
• Familiarity with vector databases (Pinecone, Weaviate, Chroma) and embedding-based search systems
• Experience building real-time inference systems or streaming AI pipelines

Location

Chicago; hybrid with a minimum of two days per week in office.

Compensation Details

The salary range for this role is $110,000-$150,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. This range is only applicable for jobs to be performed in the job posting location. An employee’s pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, business sector, performance, shift, travel requirements, sales or revenue-based metrics, market benchmarking data, any collective bargaining agreements, and business or organizational needs. This job is also eligible for a discretionary bonus, which, along with base salary and retirement contributions, is part of our total comprehensive package. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, retirement, life insurance and other benefits to eligible employees.