Senior Software Engineer - Machine Learning (GenAI, RAG)

About the role

Gartner is looking for passionate, creative engineers who are excited to foray into any technology and create innovative products for end users. We are looking for exceptional talent for the Innovation Team which works on new growth products for the future. The team is responsible for R&D into new areas and come up with rapid solutions that can be taken to the market.

Responsibilities

• Be a part of a new energetic team of engineers delivering fresh Products.
• Work as an AI/ML Engineer.
• Work with Open-source frameworks and create new packages.
• Work in a fast-paced environment along with passionate, technology rock stars.
• Lead the design and delivery of ML features end-to-end: problem framing, data prep, modeling, evaluation, deployment, and monitoring.
• Architect and ship GenAI applications - RAG pipelines, agentic workflows, MCP use, structured outputs - using LLMs from OpenAI, Anthropic, and other open-source models.
• Own retrieval systems: embeddings, chunking strategies, hybrid search, re-ranking and relevance tuning at scale.
• Design and maintain data pipelines (batch and streaming) that feed ML and GenAI workloads - ingestion, transformation, feature engineering.
• Operationalize models: containerization, CI/CD, inference optimization, cost/latency tuning, drift and quality monitoring.
• Follow coding standards, build appropriate unit tests, integration tests and deployment scripts.
• Continuously problem-solve to create secure and simple solutions.
• Create a robust backend for massive scalability and high performance.
• Bring to life elegant and modern data solutions.

Requirements

• 4 - 7 years of experience developing customer facing products or data applications.
• Expertise in productionization of ML based application right from identifying correct model, training, testing and deploy model in production at scale.
• Expertise in Production GenAI experience: building and scaling with LLM APIs, prompt engineering, RAG, embeddings, and rigorous evaluation of LLM outputs (faithfulness, hallucination, toxicity).
• Strong hands-on AWS experience or similar (GCP/Azure) is required - model deployment and data infrastructure on services such as SageMaker, Bedrock, Lambda, ECS/EKS, S3, EMR, and OpenSearch Service
• Experience with vector stores (FAISS, Pinecone, Milvus, Weaviate) and embedding model selection/evaluation.
• Exposure to OpenSearch - hands-on experience with vector search, hybrid retrieval, ingest/search pipelines, k-NN queries, index design, and relevance tuning.
• Exposure in implementing machine learning algorithms in PyTorch/TensorFlow/Spark plus scikit-learn.
• Exposure to classical ML (regression, tree-based methods, gradient boosting) and deep learning (CNNs, RNNs, Transformers).
• Ability to lead technical discussions, mentor others, and communicate trade-offs clearly to both engineering and product stakeholders.
• Bachelor's or Master's degree in Computer Science or related engineering field w/experience in software development.
• Excellent communication and interpersonal skills.
• Able to work independently or within a team proactively in a fast-paced AGILE-SCRUM environment.
• Owns success - Takes responsibility for the successful delivery of the solutions.
• Strong desire to improve upon their skills in tools and technologies
• 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-SS9
• 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.
• 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 team

Additional Information

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.

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