Lead Software Engineer

30098 FactSet Philippines, Inc.; Manila; On-site; PHP 2,000,000 - 3,200,000; Full time

Job summary

FactSet Philippines, Inc. seeks a senior ML/AI leader to design, deploy, and scale LLMs and NLP workflows within our Funds Engineering data platform in Manila.

You will mentor a 10‑member team, guide architecture decisions, and partner with stakeholders to deliver robust AI-powered data pipelines using Python, FastAPI, and cloud services on AWS/Azure/GCP.

Qualifications

• 8–12 years of industry experience with 3+ in senior/lead roles delivering ML/AI solutions
• Masters or Bachelor’s in Computer Science or equivalent
• Mastery of Python for ETL pipelines and data processing
• Experience with relational databases and cloud technologies (AWS/Azure/GCP)

Responsibilities

• Design, fine-tune, and deploy small and open-source LLMs and NLP workflows
• Provide technical leadership on architecture, design, and implementation
• Mentor a 10-member development team and drive cross-team initiatives
• Lead incident resolution and production troubleshooting, ensure code quality

Skills

Leadership

Python

ETL pipelines

Cloud platforms

ML/NLP

Prompt engineering

API design

LLMs

Mentoring

CI/CD

C++

Education

Bachelor’s or Master’s in Computer Science or equivalent

Tools

FastAPI

Flask

Django

Hugging Face Transformers

LangChain

LangGraph

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

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 and manage funds data distribution services, routinely increasing efficiency year over year through automation. 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.

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 leadership to the development team, guide on architecture, design, and implementation decisions. Should lead and manage a technical team of 10 members. 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

8-12 years of overall industry experience, including 3+ in senior or lead roles delivering ML/AI solutions in a cloud environment. Bachelor’s or master’s degree in computer science or equivalent Mastery of Python to build ETL pipelines, object-oriented patterns, code optimization, automated testing, and packaging. Experience with Database Relational database (MYSQL, POSTGRES, MSSQL or similar RDBMS) Experience on Cloud Technology AWS/Azure/GCP etc. Hands-on deployment and scaling of AI/ML services on AWS, Azure, or GCP; proficient in containers, serverless, and infrastructure as code. Effectively handle multiple projects, with different agendas and projects moving forward simultaneously Proven experience mentoring software engineers, shaping system design, and driving cross-team initiatives. Exceptional ability to explain complex technical subjects to diverse audiences. Excellent organization and time management skills (Time Management) Organized, self-directed, and resourceful with the ability to appropriately prioritize work in a fast-paced environment To effectively mentor others in the process for developing and ensuring high quality solutions Strong organizational and context switching ability.

Desired Skills

Experience in C++ Experience with technologies like Pyspark , Databricks Experience with ML lifecycle tools, CI/CD pipelines, monitoring, and model governance. Secure cloud design, IAM, encryption, and compliance frameworks.

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 atwww.factset.comand follow us onXandLinkedIn.

At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.

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. Spread the news! We understand the importance of connections, which is why we have launched an external referral pilot program in the United States. If you are a partner, customer, or vendor; you are now able to refer top talent for a monetary reward. Please note some exclusions may apply*.

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