Your Team Impact

We are looking for a talented and motivated Software Engineer to join our Buyside Services Engineering team. In this role, you will serve as an individual contributor responsible for building, enhancing, and maintaining a suite of industry-leading products that power FactSet's Portfolio Services and Managed Services business.

You will work closely with cross-functional teams including Product Development, Analytics Engineers, and Team Leads to deliver high-quality, performant, and scalable software solutions that drive transparency, data integrity, and operational efficiency for our clients.

The Buyside Services Engineering team drives the evolution of workflow and process monitoring tools that are critical to FactSet's managed and co-sourced operating model offerings.

Our products provide:

• End-to-end transparency from client data integration to processed data consumption
• Data validation and accuracy assurance at every stage of transformation and enrichment
• Presentation-ready outputs for performance, risk, and reporting operations
• Managed Services capabilities that shift the burden of data and process management from clients to FactSet's domain experts

Through continuous innovation and dedicated expertise, we empower clients to focus on their core competencies while we ensure the integrity, timeliness, and quality of their analytical operations.

What You'll Do 

• Design and develop new features and enhancements
• Maintain and resolve bugs in existing applications
• Collaborate with Product Development to understand business requirements and translate them into robust technical solutions
• Participate in technical design discussions with fellow Analytics Engineers
• Champion best practices within the team and contribute to code reviews, documentation, and test plans
• Exceptional ability to explain complex technical subjects and influence technical direction with diverse audiences.

What We're Looking For 

• 5-8 years of hands-on software engineering industry experience
• B.Tech / M.Tech in Computer Science or equivalent educational background
• Experience with LLM evaluation frameworks — including DeepEval, LangSmith— to measure model quality, run regression tests, and monitor agent behavior in production
• Architect and build multi-agent systems — designing agent roles, memory management, tool orchestration, and inter-agent communication using frameworks like LangGraph
• Expert in prompt engineering — including few-shot prompting, chain-of-thought, ReAct patterns, tool-use and function calling, and building robust NLP/NLU workflows for production agentic systems
• Experience building, deploying, or orchestrating ML/AI or data pipelines on Databricks (Data Engineering, MLflow, collaborative workflows, jobs).
• Design, fine-tune, and deploy small and open-source large language models (LLMs) such as Llama, Mistral, OpenAI GPT, etc.
• Python proficiency with a strong track record of building production-grade, client-facing systems
• Strong understanding software design patterns
• Solid database design skills — with hands-on expertise in PostgreSQL, including schema design, query optimization, indexing strategies, and working with relational and non realational data models at scale
• Practical experience with Cloud services like SQS, Lambda, and ECS

Good to have

• Design and implement RAG (Retrieval-Augmented Generation) pipelines — including document ingestion, chunking strategies, embedding generation, and integration with vector databases such as pgvector, Weaviate, or ChromaDB
• Experience with service-oriented architecture and microservices design.
• Understanding of distributed systems and handling failures gracefully across service boundaries.
• Experience working with large-scale data systems and balancing latency, throughput, and cost.
• Background with rate limiting, throttling, and client quota management.
• Experience implementing caching strategies for query results and metadata.
• Experience designing parallel and asynchronous workflows to maximize throughput and resource utilization across distributed or multi-core environment.

What's In It For You 

At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means: 

• The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up.
• Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days.  
• Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives. 
• A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions. 
• Career progression planning with dedicated time each month for learning and development. 
• Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging. 

Learn more about our benefits here.