Senior Software Engineer (Python & Agentic AI)

Reposted 4 Days Ago
2 Locations
In-Office
155K-170K Annually
Senior level
Aerospace • Big Data • Fintech • Software • Analytics
The Role
The Senior Software Engineer will enhance service efficiency by creating scalable solutions, automating workflows, and collaborating with cross-functional teams to design and implement effective technical strategies.
Summary Generated by Built In

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access

to financial data and analytics that investors use to make crucial decisions.  

At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations.  

The Services organization focuses on evolving FactSet’s global service delivery model by streamlining operational workflows and improving data quality, transparency, and efficiency. This includes core platforms such as Portfolio Reconciliation Utility, Portfolio Health, Lifecycle Dashboards, and Portfolio Services Dashboards—foundational capabilities that support FactSet’s growing Managed Services and Portfolio Services business. 

The Services Engineering team builds and operates workflow- and data-intensive platforms that provide transparency into data processing pipelines, ensure data accuracy and completeness, and deliver reliable, presentation-ready outputs at scale. 

We are seeking a Senior Software Engineer to join our Services Engineering team as a senior individual contributor. This role focuses on improving Services efficiency by building scalable platforms and tooling that help automate workflows and scale the Services platform. The ideal candidate combines strong hands-on engineering skills with architectural thinking and the ability to lead through technical influence. 

As a key member of the team, you will collaborate closely with the FactSet AI group, working with cutting-edge agentic technologies to deliver our Services Agent workflow. You’ll leverage your deep engineering expertise and architectural vision to influence technical decisions, shape best practices, and mentor fellow engineers. 

What You'll Do   

  • Design, build, and evolve scalable software solutions and tooling to improve operational efficiency and scalability across the Services platform 
  • Design and implement an evaluation framework for MCP servers and tools in the Services ecosystem 
  • Lead technical implementation of automation and tooling initiatives that support growth of managed and operational services 
  • Contribute hands-on to complex codebases, system integrations, and critical production workflows 
  • Partner with Product Management, Operations, and other engineering teams to translate business needs into effective technical solutions 
  • Participate in technical design reviews and help guide architectural decisions to ensure maintainability and long-term scalability 
  • Collaborate with clients and internal stakeholders to understand service workflows, constraints, and evolving requirements 
  • Mentor and support other engineers through code reviews, technical guidance, and best practice sharing 
  • Help drive engineering excellence around code quality, testing, reliability, and operational best practices 

What We're Looking For 

Required Skills 

  • 5+ years of professional software engineering experience 
  • Strong hands-on full stack development experience with Python, VueJS/Typescript, PostGres or similar relational database 
  • Familiarity with LangChain, LangSmith, or similar AI frameworks. 
  • Familiarity with MCP protocol implementation and related standards. 
  • Solid foundation in system design and architecture for scalable, production-grade systems 
  • Experience building or operating data-intensive, workflow-driven, or service-oriented platforms 
  • Strong understanding of data structures, algorithms, and software engineering principles 
  • Strong communication skills and ability to collaborate effectively across teams 

Desired Skills  

  • Experience designing and building chat-based interfaces, agent-driven systems, or conversational workflows 
  • Experience with C#, NodeJS 
  • Familiarity with patterns for orchestration, automation, and event-driven systems 
  • Familiarity with cloud-native architectures and modern data platforms 
  • Experience designing tooling to improve operational efficiency 
  • Experience working in Agile development environments 

The budgeted amount range for this position in New York City and Connecticut is $155,000 -$170,000.

Company Overview: 

FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn. 

At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, disability, protected veteran status or other characteristics protected by law. FactSet participates in E-Verify 

Skills Required

  • 5+ years of professional software engineering experience
  • Strong hands-on full stack development experience with Python, VueJS/Typescript, PostGres or similar relational database
  • Familiarity with LangChain, LangSmith, or similar AI frameworks
  • Solid foundation in system design and architecture for scalable, production-grade systems

Factset Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Factset and has not been reviewed or approved by Factset.

  • Healthcare Strength Healthcare coverage is positioned as comprehensive, spanning medical, dental/vision in some descriptions, and life and disability insurance. Company-wide wellness days and region-specific add-ons (e.g., Vitality PMI, Bupa dental, Health Shield cashback) further reinforce a strong health-and-wellbeing offering.
  • Retirement Support Retirement savings support is consistently included as part of the core package through retirement savings plans. The presence of these programs is framed as a meaningful component of total rewards beyond base salary.
  • Equity Value & Accessibility An employee stock purchase program is highlighted as a standard part of the total rewards package. This provides a pathway to share ownership alongside cash compensation.

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The Company
HQ: Norwalk, CT
10,310 Employees
Year Founded: 1978

What We Do

FactSet creates flexible, open data and software solutions for tens of thousands of investment professionals around the world, providing instant access to financial data and analytics that investors use to make crucial decisions. For 40 years, through market changes and technological progress, our focus has always been to provide exceptional client service. From more than 60 offices in 23 countries, we’re all working together toward the goal of creating value for our clients, and we’re proud that 95% of asset managers who use FactSet continue to use FactSet, year after year. As big as we grow, as far as we reach, and as successful as we become, we stay connected to our clients and to each other.

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