Senior Software Engineer (Python-AI/ML)
At a glance
Senior AI Engineering role at FactSet. India, Hyderabad, DVS, SEZ-1 – Orion B4; FL 7,8,9,11 (Hyderabad - Divyasree 3) · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and deploy compact and open-source language models, tuning them for the role’s use cases
- Develop prompt and few-shot methods, then create NLP and NLU workflows for applications
- Create reusable Python pipelines and guide use of AI/ML frameworks across the team
- Design Python APIs and microservices, and advise developers on architecture and implementation choices
- Resolve production incidents, review code, and flag quality or delivery risks
What you bring
- Five to eight years building and deploying Python applications that are scalable and maintainable
- A computer science degree at bachelor’s or master’s level, plus experience developing APIs and ETL pipelines
- Practical LLM prompt design, few-shot techniques and model tuning, using frameworks such as Hugging Face or LangChain
- Experience deploying and scaling AI/ML services on a major cloud platform, with containers, serverless and infrastructure as code
- Relational database experience and regular use of AI tools in software development
Who this fits
This senior role suits an experienced Python engineer ready to provide technical direction while remaining hands-on with AI/ML systems. You should be flexible across time zones and shifts and willing to take on-call duties.
From the employer
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.
- Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging.
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.