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FactSet

Subscription-based financial data and analytics platform

Senior Software Engineer - AI & Agentic Platforms

AI Application EngineeringPosted on Nov 11
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • 5–8 years of hands-on software engineering industry experience.
  • A B.Tech or M.Tech in Computer Science, or equivalent educational background.
  • Experience with LLM evaluation frameworks, including DeepEval and LangSmith, to measure model quality, run regression tests, and monitor agent behavior in production.
  • Ability to architect and build multi-agent systems, including agent roles, memory management, tool orchestration, and inter-agent communication using frameworks such as LangGraph.
  • Expertise in prompt engineering, including few-shot prompting, chain-of-thought, ReAct patterns, tool use and function calling, and production NLP/NLU workflows for agentic systems.
  • Experience building, deploying, or orchestrating machine-learning, AI, or data pipelines on Databricks, including Data Engineering, MLflow, collaborative workflows, and jobs.
  • Ability to design, fine-tune, and deploy small and open-source large language models such as Llama, Mistral, and OpenAI GPT.
  • Python proficiency and a track record of building production-grade, client-facing systems.
  • Strong understanding of software design patterns.
  • Database design skills and hands-on PostgreSQL expertise, including schema design, query optimization, indexing strategies, and working with relational and non-relational data models at scale.
  • Practical experience with cloud services such as SQS, Lambda, and ECS.
  • Ability to explain complex technical subjects and influence technical direction with diverse audiences.

Responsibilities

  • Design and develop new features and enhancements.
  • Maintain existing applications and resolve bugs.
  • Collaborate with Product Development to understand business requirements and translate them into robust technical solutions.
  • Participate in technical design discussions with fellow Analytics Engineers.
  • Champion team best practices and contribute to code reviews, documentation, and test plans.

Desired Qualifications

  • Ability to design and implement retrieval-augmented generation (RAG) pipelines, including document ingestion, chunking strategies, embedding generation, and integration with vector databases such as pgvector, Weaviate, or ChromaDB.
  • Experience with service-oriented architecture and microservices design.
  • Understanding of distributed systems and graceful failure handling across service boundaries.
  • Experience working with large-scale data systems and balancing latency, throughput, and cost.
  • Background with rate limiting, throttling, and client quota management.
  • Experience implementing caching strategies for query results and metadata.
  • Experience designing parallel and asynchronous workflows to maximize throughput and resource utilization across distributed or multi-core environments.

About the Company

FactSet

Subscription-based financial data and analytics platform

FactSet provides financial data and analytics software to investment professionals through a subscription-based platform. It offers market data, fixed income data, and research management tools that deliver real-time and historical data, along with advanced analytics, to help asset managers, investment bankers, wealth advisors, and other financial professionals make informed decisions. The platform is customizable to fit different clients’ needs, and FactSet also offers consulting and support services to maximize subscription value. The company differentiates itself through a strong focus on client service and ongoing platform updates that incorporate the latest data and analytical techniques, aiming to be a trusted, comprehensive source for financial information. Its goal is to enable better investment decisions by providing access to broad data sets and sophisticated analytics within an integrated suite of tools.

Company size
10,001+
Company stage
IPO
Headquarters
Norwalk, CT
Founded
1978

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