Sr Software Engineer (Python + Agentic AI)

Job description

**About Gartner IT:** 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. **About this role:** 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 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. **What you’ll do:** - 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. **What you’ll need:** - 4–7 years of professional software engineering experience, with a strong track record of shipping production-quality code. - Deep proficiency in Python application development, including Fast API, asynchronous programming and performance optimization. - Hands-on experience building AI applications using orchestration frameworks (specifically LangGraph or LangChain) and implementing Retrieval-Augmented Generation (RAG) using Vector Databases. - Strong experience designing and deploying scalable solutions on AWS (e.g., Lambda, ECS/EKS, API Gateway, DynamoDB) and a strong background in distributed systems, APIs, microservices, container orchestration etc. - 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. **Good to have** - LLM Tuning & Evaluation: Experience with prompt engineering strategies, evaluating LLM performance (using frameworks like RAGAS or TruLens), or fine-tuning open-source models (e.g., Llama). - Infrastructure as Code: Familiarity with Terraform managing AWS infrastructure. - DevOps Practices: Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions) and containerization (Docker/Kubernetes). **Who you are:** - Effective time management skills and ability to meet deadlines. - Excellent communication skills for interacting with both technical and business audiences. - Strong organization, multitasking, and prioritization abilities. - Willingness and aptitude to embrace new technologies and rapidly master new concepts. - Intellectual curiosity and passion for technology, with a drive to stay current with emerging trends. - Commitment to delivering high-quality project work on time and within budget. Don’t meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles. **Who are we?** At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. **What makes Gartner a great place to work?** Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by yo