Lead Software Engineer/ Senior Software Engineer- Backend & AI/ML & Cloud

Factset; Elsene; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Disability insurance

Retirement plan

Stock purchase program

Paid time off

Flexible work arrangements

Job summary

FactSet is seeking a Senior Software Engineer focused on Generative AI, agentic systems, and cloud-native API development. You will design, build, and deploy AI-powered applications and multi-agent frameworks that transform how users interact with data and automation.

You will collaborate with ML engineers, data scientists, product managers, and cloud architects to deliver scalable, reliable GenAI solutions on cloud platforms, using modern frameworks and tools.

Qualifications

• 5–7 years of professional software engineering experience.
• Hands-on Python development in production environments.
• Experience with GenAI technologies including LLMs, RAG, embeddings, or prompt engineering.
• Building and deploying APIs using FastAPI or similar async Python frameworks.
• Experience working with AWS cloud services in a production environment.

Responsibilities

• Design GenAI workflows and agentic AI frameworks using modern tools.
• Build high-performance, scalable RESTful APIs and async microservices.
• Deploy and manage AI workloads on AWS (SageMaker, Lambda, API Gateway).
• Implement retrieval-augmented generation (RAG) pipelines and vector stores.
• Collaborate with ML engineers, data scientists and cloud architects to deliver scalable solutions.

Skills

Python

LLMs

GenAI

REST APIs

Distributed systems

Cloud computing

Education

Bachelor's or Master's in CS/related field

Tools

LangChain

LangGraph

AutoGen

CrewAI

OpenAI API

AWS

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 ImpactWe are looking for a Senior Software Engineer who is passionate about Generative AI, Agentic systems, and cloud-native API development. In this role, you will be a key contributor in designing, building, and deploying production-grade AI-powered applications and intelligent agent frameworks that transform the way our products and customers interact with data and automation.You will collaborate closely with ML Engineers, Data Scientists, Product Managers, and Cloud Architects to deliver scalable, reliable, and innovative solutions powered by cutting-edge GenAI technologies.What You'll DoGenAI & Agentic DevelopmentDesign and develop Agentic AI workflows using frameworks such as LangChain, LangGraph, AutoGen, CrewAI , or similarBuild and integrate LLM-powered applications using models from OpenAI, Anthropic, Meta (LLaMA), Mistral , or foundation models on cloud platformsImplement Retrieval-Augmented Generation (RAG) pipelines, vector stores, and semantic search capabilitiesDevelop multi-agent orchestration systems with defined tool use, memory management, and reasoning loopsEvaluate, fine-tune, and optimize LLM behavior through prompt engineering and chain-of-thought designAPI Development & Backend EngineeringBuild high-performance, scalable RESTful APIs and async microservices using FastAPI and PythonDesign clean, modular, and well-documented API contracts following OpenAPI/Swagger standardsImplement authentication, authorization, rate limiting , and security best practices across APIsDevelop event-driven and streaming architectures to support real-time AI inference pipelinesCloud & Platform EngineeringDeploy and manage AI workloads on AWS (SageMaker, Lambda, API Gateway, Bedrock, S3, ECS/EKS)Utilize Databricks for large-scale data processing, MLflow model tracking, and AI/ML pipeline orchestrationBuild CI/CD pipelines and infrastructure-as-code (IaC) using tools like Terraform, AWS CDK , or similarEnsure scalability, observability, and reliability through cloud-native monitoring and logging practicesEngineering ExcellenceWrite clean, testable, production-ready Python code following software engineering best practicesConduct code reviews and mentor junior engineers on GenAI patterns and best practicesContribute to architectural decisions, technical roadmaps , and engineering documentationStay current with the rapidly evolving GenAI ecosystem and champion the adoption of emerging toolsWhat We're Looking For5–7 years of professional software engineering experienceHands-on Python development in production environmentsExperience with GenAI technologies including LLMs, RAG, embeddings, or prompt engineeringBuilding and deploying APIs using FastAPI or similar async Python frameworksExperience working with AWS cloud services in a production environmentHands-on experience with Databricks for data/AI workloadsPython & FrameworksExpert-level Python (async programming, type hints, Pydantic, dependency injection)FastAPI – routing, middleware, background tasks, OpenAPI spec generationExperience with SQLAlchemy, Alembic , or async ORMsUnit/integration testing with pytest, pytest-asyncioGenAI & AgenticStrong understanding of LLM internals , tokenization, context windows, and model behaviorExperience with LangChain / LangGraph / AutoGen / CrewAI or similar agentic frameworksFamiliarity with vector databases – Pinecone, Weaviate, pgvector, ChromaDB, or FAISSKnowledge of RAG architectures , chunking strategies, and embedding modelsHands-on experience with OpenAI API, Anthropic Claude API, AWS Bedrock , or Hugging Face modelsCloud – AWSAWS Bedrock – LLM model invocation and managementAWS Lambda, API Gateway, ECS/EKS – serverless and containerized deploymentsS3, DynamoDB, RDS/Aurora – data storage patternsIAM, VPC, Secrets Manager – security and access controlFamiliarity with AWS CDK or CloudFormationDatabricksExperience with Databricks Workflows, Delta Lake, Unity CatalogFamiliarity with MLflow for experiment tracking and model registryUsing Databricks for AI/BI or LLM serving pipelinesGeneral EngineeringDocker & Kubernetes – containerization and orchestrationGit – branching strategies, PR workflows, GitOpsCI/CD – GitHub Actions, GitLab CI, Jenkins, or similarUnderstanding of distributed systems , event streaming (Kafka or AWS Kinesis), and microservice patternsPreferred / Nice-to-Have QualificationsExperience with multi-modal AI (vision + language models)Familiarity with Azure OpenAI Service or Google Vertex AIExposure to Terraform or Pulumi for infrastructure automationContributions to open-source AI/ML projectsExperience with GraphQL APIsBackground in data engineering or MLOps pipelinesAWS Certifications ( Solutions Architect, ML Specialty )Databricks Certified Associate or Professional badgeEducationBachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related technical fieldEquivalent practical experience and demonstrable project portfolio will be considered.What's In It For YouAt 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.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.