AI Software Engineer - Fixed Income Technology

Overview

We are seeking a talented Mid-Level AI Software Engineer to join our growing Fixed Income Technology team. In this role, you will design, develop, and deploy AI‑powered capabilities that drive real business impact. You will work closely with business stakeholders, engineering, and data engineering teams to build scalable, production‑grade AI systems. This is an exciting opportunity to shape the next generation of intelligent products while growing your expertise in a collaborative and innovative environment.

• 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 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.

• 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.
• Experience in Fixed Income Markets or related financial sector.
• Strong proficiency in Python and AI/agentic frameworks, including Lang Chain and Lang Graph.
• Proven ability to design, build, and architect production‑grade agentic workflows and enterprise AI systems using LLMs.
• Proficiency in SQL and Snowflake; comfortable 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 MCP.
• 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).

• 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.

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

The salary range for this role is $110,000–$150,000. This range is the lowest to highest salary we believe we would pay for this role at the time of this posting. The range may be modified in the future. The salary range is applicable for jobs performed in the job posting location. An employee’s pay position within the range will be based on a number of factors including education, qualifications, certifications, experience, skills, seniority, geographic location, business sector, performance, shift, travel requirements, sales or revenue‑based metrics, market benchmarking data, 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 the 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.

Neuberger is an equal‑opportunity employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, and regulations.