Software Engineer; Agentic AI​/Data Engineering

Software Engineer

Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting‑edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome‑driven approach to success, and the notion that great ideas can come from anyone on the team.

Join our Agentic AI Applications team to build the next generation of Gartner's Sales and Service Delivery enablement tools. In this role, you will help architect a sophisticated Agentic AI ecosystem designed to act as a force multiplier for our associates, moving beyond simple chatbots to create context‑aware digital partners. You will drive the development of a comprehensive intelligent digital assistant capable of "connecting the dots" between client initiatives, value delivery, past engagements & interactions, and our vast library of expert research.

You will engineer solutions that leverage Retrieval‑Augmented Generation (RAG), multi‑agent orchestration, secure intent recognition and efficient context handling‑ensuring our Sales and Service teams have a powerful, intelligent interface to navigate critical business data and be more productive and effective in their client interaction preparation and follow up workflows.

• Architect & Build Agentic Systems:
  Design and implement scalable, multi‑agent architectures that autonomously retrieve, synthesize, and act upon complex data sets-including client intelligence, strategic priorities, and historical engagement & Interactions logs.
• Develop Advanced RAG Pipelines:
  Engineer robust Retrieval‑Augmented Generation (RAG) solutions that aggregate diverse business intelligence‑spanning strategic client priorities, communication history, and value metrics-to ensure the AI possesses a holistic, real‑time understanding of the client relationship.
• Orchestrate Complex Workflows:
  Build the logic that "connects the dots" across disparate systems, enabling the digital assistant to hand off tasks to specialized sub‑agents or external APIs.
• Ensure Enterprise‑Grade Reliability:
  Implement rigorous guardrails, security controls, and intent recognition layers to ensure the AI acts safely and accurately when handling sensitive data.
• Scale from Concept to Production:
  Lead the technical evolution of AI capabilities from experimental POCs to robust, high‑availability systems, ensuring the platform scales effortlessly to support thousands of global users.
• Optimize Performance & Cost:
  Fine‑tune LLM interactions and context window usage to balance latency, cost, and response quality, ensuring a seamless real‑time experience for Sales and Service users.
• Collaborate & Mentor:
  Partner closely with Product Managers and Data Scientists to translate high‑level business requirements into technical roadmaps, while mentoring junior engineers in best practices for AI application development.

• 2+ years of professional software engineering experience, with a strong track record of shipping production‑quality code.
• Proficiency in Python application development, including Fast API, asynchronous programming and performance optimization.
• Hands‑on experience building AI applications using orchestration frameworks (specifically Lang Graph or Lang Chain) and implementing Retrieval‑Augmented Generation (RAG) using Vector Databases.
• Experience designing and deploying scalable solutions on AWS (e.g., Lambda, ECS/EKS, API Gateway, Dynamo
  
  DB) and a strong background in distributed systems, APIs, microservices, container orchestration etc.
• Working knowledge of modern frontend frameworks, particularly React, with the ability to understand how backend APIs drive the user interface and an ability to collaborate effectively with Product & Design.
• Experience transitioning complex systems from "Proof of Concept" (POC) to high‑availability production environments serving a large user base.
• Strong communication and collaboration skills to work effectively across time zones and global teams.

• LLM Tuning & Evaluation:
  Experience with prompt engineering strategies,…