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Senior Software Engineer (Python-AI/ML)

India, Hyderabad, DVS, SEZ-1 – Orion B4; FL 7, 8, 9, 11 (Hyderabad - Divyasree 3)

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at FactSet

What you’ll work on

Full posting
  • Design, fine-tune, and deploy small and open-source LLMs

  • Architect reusable NLP and AI/ML pipelines in Python

  • Design scalable Python APIs and microservices

  • Handle production incidents and troubleshooting

  • Lead code reviews and enforce coding standards

From the employer’s posting
Design, fine-tune, and deploy small and open-source large language models (LLMs)
architect reusable pipelines in Python
Drive critical systems architecture in Python, using best practices in API and microservices design
Provide technical support by incident resolution, and production troubleshooting
Code quality through code reviews, advocating coding standards

What you’ll bring

All qualifications

Core experience

  • 5-8 years of Python development experience
  • LLM prompt engineering, few-shot prompting, and fine-tuning
  • API development (FastAPI or REST)
  • ETL pipeline experience
  • Deploying AI/ML services on AWS, Azure, or GCP
Qualification wording
5-8 years of overall industry experience in Python
Must have strong real-world experience in LLM prompt engineering, few-shot prompting, and fine-tuning
Candidate should have experience in API development (Fast/Rest)
Experience with ETL pipelines.
Hands-on deployment and scaling of AI/ML services on AWS, Azure, or GCP
Education & alternatives
- Experience with ETL pipelines. - Bachelor’s or master’s degree in computer science - Experience with relational database (MySQL, MSSQL, or similar RDBMS)

Tools in this posting

  • Python
  • AWS
  • Azure
  • GCP
  • MySQL
  • Django
  • FastAPI
  • Flask
  • Hugging Face
  • Transformers
Source — Tool mentions in context
- Hands-on leadership in prompt engineering, few-shot prompting, and building advanced NLP/NLU workflows. - Guide adoption of modern AI/ML frameworks (Hugging Face Transformers, LangChain, LangGraph, etc.) and architect reusable pipelines in Python. - Drive critical systems architecture in Python, using best practices in API and microservices design (FastAPI, Flask, Django, etc.).
- Guide adoption of modern AI/ML frameworks (Hugging Face Transformers, LangChain, LangGraph, etc.) and architect reusable pipelines in Python. - Drive critical systems architecture in Python, using best practices in API and microservices design (FastAPI, Flask, Django, etc.). - Provide technical guidance to the development team on architecture, design, and implementation decisions.
What We’re Looking For - 5-8 years of overall industry experience in Python designing, developing, and deploying applications, ensuring they are scalable, efficient, and maintainable. - Candidate should have experience in API development (Fast/Rest)
- Must have strong real-world experience in LLM prompt engineering, few-shot prompting, and fine-tuning (using anyone frameworks like Hugging Face, LangChain, LangGraph, etc.). - Hands-on deployment and scaling of AI/ML services on AWS, Azure, or GCP; proficient in containers, serverless, and infrastructure as code - Actively uses AI tools (e.g., GitHub Copilot, ChatGPT, Cursor) in daily development workflows
- Bachelor’s or master’s degree in computer science - Experience with relational database (MySQL, MSSQL, or similar RDBMS) - Hands-on experience with AI/ML technologies and integrating AI capabilities into applications
- Hands-on experience with AI/ML technologies and integrating AI capabilities into applications - Must have strong real-world experience in LLM prompt engineering, few-shot prompting, and fine-tuning (using anyone frameworks like Hugging Face, LangChain, LangGraph, etc.). - Hands-on deployment and scaling of AI/ML services on AWS, Azure, or GCP; proficient in containers, serverless, and infrastructure as code

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Live
First seen by us
Sep 16, 2026 · 46 days ago
Recorded sightings
52
Last seen by us
Nov 2, 2026

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Job description

View original posting ↗

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.  

Your Team Impact


FactSet's Funds Engineering team under DSE is focused on delivering Funds data (e.g., fund expense ratio, daily price & info data) coming from different sources by providing database solutions and automated processes which follow an Extract-Transform-Load (ETL) procedure. We develop & maintain an internal data collection application, Fast APIs to collect the required data. We also manage funds data distribution services, routinely increasing efficiency year over year through automation. We are looking for a candidate who is independent, driven, and has strong communication skills and technical knowledge, who will help the team contribute to the company’s goals and help to provide our clients with the data they need to make informed decisions. A passionate software engineer with proficiency in development, deployment of software & follows coding best practices.


What you’ll do

  • Design, fine-tune, and deploy small and open-source large language models (LLMs) such as Llama, Mistral, OpenAI GPT, etc.
  • Hands-on leadership in prompt engineering, few-shot prompting, and building advanced NLP/NLU workflows.
  • Guide adoption of modern AI/ML frameworks (Hugging Face Transformers, LangChain, LangGraph, etc.) and architect reusable pipelines in Python.
  • Drive critical systems architecture in Python, using best practices in API and microservices design (FastAPI, Flask, Django, etc.).
  • Provide technical guidance to the development team on architecture, design, and implementation decisions.
  • Provide technical support by incident resolution, and production troubleshooting
  • Code quality through code reviews, advocating coding standards, and identifying risks before code reviews.
  • Should collaborate with stakeholders and the healthy technical discussions engineering team.
  • Supplements technical decision-making skills with broader business knowledge

What We’re Looking For

  • 5-8 years of overall industry experience in Python designing, developing, and deploying applications, ensuring they are scalable, efficient, and maintainable.
  • Candidate should have experience in API development (Fast/Rest)
  • Experience with ETL pipelines.
  • Bachelor’s or master’s degree in computer science
  • Experience with relational database (MySQL, MSSQL, or similar RDBMS)
  • Hands-on experience with AI/ML technologies and integrating AI capabilities into applications
  • Must have strong real-world experience in LLM prompt engineering, few-shot prompting, and fine-tuning (using anyone frameworks like Hugging Face, LangChain, LangGraph, etc.).
  • Hands-on deployment and scaling of AI/ML services on AWS, Azure, or GCP; proficient in containers, serverless, and infrastructure as code
  • Actively uses AI tools (e.g., GitHub Copilot, ChatGPT, Cursor) in daily development workflows
  • Strong Communication and problem-solving skills.
  • Flexible with time zones/shifts and a willingness to handle on-call responsibilities
  • Experience with GitHub-based development processes
  • Organized, self-directed, and resourceful with the ability to appropriately prioritize work in a fast-paced environment

Desired Skills

  • Familiar with Agile software development (Scrum is a plus).

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. 

Learn more about our benefits here. 

Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications. 

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 characteristics protected by law. 

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Location & working pattern

India, Hyderabad, DVS, SEZ-1 – Orion B4; FL 7, 8, 9, 11 (Hyderabad - Divyasree 3)

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