Software Engineer (Agentic AI/Data Engineering)

Gartner • Irving, TX

3d • Hybrid

About The Position

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.

Requirements

• 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 LangGraph or LangChain) and implementing Retrieval-Augmented Generation (RAG) using Vector Databases.
• 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.
• 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.

Nice To Haves

• Experience with prompt engineering strategies, evaluating LLM performance (using frameworks like RAGAS or TruLens), or fine-tuning open-source models (e.g., Llama).
• Familiarity with Terraform managing AWS infrastructure.
• Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions) and containerization (Docker/Kubernetes).
• Understanding of CRM ecosystems (like Salesforce) or prior experience building tools for Sales or Customer Service teams.
• Knowledge of Java or Salesforce development.

Responsibilities

• 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.
• 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.
• 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.
• Implement rigorous guardrails, security controls, and intent recognition layers to ensure the AI acts safely and accurately when handling sensitive data.
• 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.
• 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.
• 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.

Benefits

• Competitive compensation.
• Limitless growth and learning opportunities.
• Ongoing mentorship and apprenticeship; Leadership courses, development programs, technical courses, certification opportunities and more!
• A collaborative and positive culture - join a diverse team of professionals that are as smart and driven as you.
• A chance to make an impact – your work will contribute directly to our strategy.
• Enjoy the flexibility of working from home and the energy of collaborating with peers in our dynamic offices.
• 20+ PTO days plus holidays and floating holidays in your first year.
• Extensive medical, dental insurance and vision plan.
• 401K with corporate match, immediate vesting.
• Health-and-wellness-related allowance programs.
• Parental leave.
• Tuition reimbursement.
• Employee Stock Purchase Plan.
• Employee Assistance Program.
• Gartner Gives Charity Match.
• And much more!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed