FFR - Lead Software Engineer – Backend & AI/ML & Cloud

30097 FactSet Systems India Private Limited; Hyderabad; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

FactSet in Hyderabad seeks a senior software engineer to lead ML/AI initiatives, architect scalable Python services, and drive end-to-end data pipelines for large‑volume financial data.

You will mentor engineers, shape system architecture, and collaborate across teams to deliver production‑grade ML solutions with robust monitoring, CI/CD, and secure cloud practices.

Qualifications

• 8–12 years in software development with 3+ years in senior/lead roles delivering ML/AI solutions in a cloud environment.
• Strong experience in LLM prompt engineering, few-shot prompting, and fine-tuning.
• Proficiency in Python for API/microservices, object-oriented patterns, code optimization, automated testing, and packaging.
• Hands-on deployment and scaling of AI/ML services on AWS, Azure, or GCP; proficient in containers, serverless, and IaC.
• Demonstrated technical leadership: mentoring, system design, and cross‑team coordination.
• Excellent communication skills to explain complex topics to diverse audiences.

Responsibilities

• Design, fine‑tune, and deploy open‑source LLMs (e.g., Llama, Mistral, GPT) and guide modern AI/ML workflows.
• Drive Python API/microservice architecture and best practices.
• Architect scalable cloud deployments with serverless patterns and infrastructure as code.
• Provide technical leadership, code reviews, and ensure high‑quality delivery across teams.

Skills

LLM & Prompt Engineering

Python API Development

Cloud Deployment

Technical Leadership

Communication

Education

Bachelor’s degree in Engineering, Computer Science, or equivalent

Tools

Databricks

PySpark

Spark

Airflow

Hugging Face Transformers

LangChain

LangGraph

AWS

Terraform

Docker

Kubernetes

Job description

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's Impact

The team comprises highly motivated engineers and stakeholders who are passionate about extracting targeted insights from diverse document sources and transforming them into high‑value data products. Leveraging cutting‑edge technologies, the team focuses on building scalable pipelines that efficiently collect, structure, and process large volumes of data. Over time, the team has developed a robust and high‑performing data pipeline capable of generating best‑in‑class structured datasets that power FactSet’s products. Currently, the team is advancing this ecosystem by driving end‑to‑end automation across multiple stages of the pipeline. This includes the development of an event‑driven, GenAI‑centric, agent‑based infrastructure aimed at enhancing efficiency, scalability, and innovation in data processing workflows.

SUB‑PROCESS BRIEF

Leads development strategies, architecture designs, data management, and code flow analysis necessary for the software development life cycle. Works closely with different groups/teams to ensure engineering team delivers on precision/correctness, performance, and scalability across our distributed computational framework.

What You’ll Do

• AI/ML & LLM Expertise: 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.
• Python & API Development: Drive critical systems architecture in Python, using best practices in API and micro‑services design (FastAPI, Flask, Django, etc.).
• Cloud Deployment (AWS/Azure/GCP): Architect, deploy, and scale robust, production‑grade ML/AI solutions on cloud (AWS strongly preferred), leveraging cloud‑native tools (Lambda, S3, ECS/ECR/Fargate, etc.), serverless, and IaC (CloudFormation/Terraform). Champion DevOps best practices, automation, containerization (Docker/K8s), CI/CD, and operational monitoring.
• Technical Leadership: Mentor engineers, lead by example, drive system architecture reviews and code standards, and ensure high‑quality technical delivery across teams. Act as the technical point of contact for escalation, incident resolution, and production troubleshooting.

What We’re Looking For

• Experience: 8-12 years in software development, including 3+ in senior or lead roles delivering ML/AI solutions in a cloud environment.
• LLM & Prompt Engineering: Strong self‑real experience in LLM prompt engineering, few‑shot prompting, and fine‑tuning (using frameworks like Hugging Face, LangChain, LangGraph, etc.).
• Python Expertise: Mastery of Python for API/microservice development, object‑oriented patterns, code optimization, automated testing, and packaging.
• Cloud (AWS Preferred): Hands‑on deployment and scaling of AI/ML services on AWS, Azure, or GCP; proficient in containers, serverless, and infrastructure as code.
• Technical Leadership: Proven experience mentoring software engineers, shaping system design, and driving cross‑team initiatives.
• Communication: Exceptional ability to explain complex technical subjects and influence technical direction with diverse audiences.

Nice to Have

• Databricks: Experience building, deploying, or orchestrating ML/AI or data pipelines on Databricks (Data Engineering, MLflow, collaborative workflows, jobs). (Note: Knowledge of Databricks is highly valued but not required; candidates without PySpark but with Databricks experience are welcome.)
• PySpark: Experience using PySpark for big data ETL/processing, but not a must‑have.
• Data Engineering: Familiarity with Spark, Airflow, advanced data analytics stacks, and modern data lakes (e.g., Delta Lake).
• ML Productionization & MLOps: Experience with ML lifecycle tools, CI/CD pipelines, monitoring, and model governance.
• Visualization: Python‑based dashboarding/analytics (Streamlit, Dash, Plotly).
• Security & Compliance: Secure cloud design, IAM, encryption, and compliance frameworks.
• Published Work / Open Source: Contributions to AI/ML communities, conference presentations, or technical publications.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or equivalent.
• Experience working in product engineering organizations preferred.

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.

Qualified applicants will be considered for employment without regard to characteristics protected by law.

Learn more atwww.factset.comand follow us onXandLinkedIn.

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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. Join a team of highly motivated, talented individuals who are empowered to find answers through creative technology.