Sr Software Engineer (4-7 yrs in Python & LangGraph/ LangChain required) at Gartner

Gurgaon, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

19 May, 26

Salary

0.0

Posted On

18 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, LangGraph, LangChain, RAG, Fast API, Asynchronous Programming, Vector Databases, AWS, Lambda, ECS/EKS, API Gateway, DynamoDB, Distributed Systems, Microservices, Container Orchestration, React

Industry

Market Research

Description

About Gartner IT: Join a world-class team of skilled IT Operation Support Professionals who build the first line of attack for our associates for any of their IT related Support requests or issues and at the same time act as the first line of defense for tier 3 Technical Teams to give them cover for consequences resulted from new upgrades and technology push in the IT environment. We make a broad organizational impact by delivering cutting-edge technology solutions that power our Associates to achieve our common goal with great efficiency and success. 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. 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. 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). Domain Knowledge: Understanding of CRM ecosystems (like Salesforce) or prior experience building tools for Sales or Customer Service teams. 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. #LI-PM2 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 21,000 associates globally who support ~14,000 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 your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com. Job Requisition ID:107717 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. At Gartner, we guide the leaders who shape the world. About 14,000 client enterprises worldwide rely on Gartner for actionable, objective business and technology insights. Our teams of thinkers and doers know that staying curious is the best way to shape the future, for ourselves and our clients. Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Responsibilities

The role involves architecting and building scalable, multi-agent systems that autonomously retrieve and synthesize complex data, alongside engineering robust Retrieval-Augmented Generation (RAG) pipelines for business intelligence aggregation. Responsibilities also include orchestrating complex workflows, ensuring enterprise-grade reliability with security controls, and scaling AI capabilities from POC to high-availability production.