We are seeking a highly experienced Senior AI/ML Engineer to design, build, and scale enterprise-grade Generative AI solutions on the LightSpeed Enterprise platform. The ideal candidate will have deep hands-on experience with Large Language Models (LLMs), orchestration frameworks, and production deployment of AI systems. This role involves working across the full lifecycle—from model experimentation and fine-tuning to building scalable APIs and deploying robust, monitored systems in production.

You will collaborate closely with cross-functional teams to architect intelligent systems powered by advanced retrieval techniques, multi-agent workflows, and modern ML infrastructure.

Responsibilities

Key Responsibilities

Design, develop, and deploy scalable applications using LLMs (Gemini, Claude, OpenAI models)
Build and manage orchestration pipelines using LangChain, LlamaIndex, LangGraph, and multi-agent systems
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and PostgreSQL
Fine-tune and evaluate ML/DL models using PyTorch and TensorFlow
Architect end-to-end AI systems, including prompt engineering, evaluation, and monitoring frameworks
Develop and maintain production-grade APIs and microservices for AI applications
Containerize and deploy applications using Docker and OpenShift
Implement monitoring, logging, and performance optimization for production AI systems
Collaborate with product, engineering, and data teams to translate business requirements into AI solutions
Stay up to date with advancements in Generative AI and recommend best practices

Requirements

Minimum Requirements

7–15 years of experience in software engineering, machine learning, or AI-related roles
Strong hands-on experience with LLMs such as Gemini, Claude, and OpenAI models
Proven experience with orchestration frameworks like LangChain, LlamaIndex, LangGraph, or similar
Solid understanding of ML/DL concepts with practical experience in PyTorch and/or TensorFlow
Experience building and deploying RAG-based systems using vector databases and PostgreSQL
Expertise in designing and deploying scalable APIs and microservices
Hands-on experience with Docker and OpenShift (or similar container orchestration platforms)
Strong programming skills in Python
Experience working in production environments with monitoring and logging tools
Excellent problem-solving and system design skills

Nice to have

Would Be a Plus

Experience with multi-agent AI systems and autonomous workflows
Knowledge of advanced retrieval techniques (hybrid search, reranking, semantic search)
Familiarity with enterprise AI platforms like LightSpeed Enterprise
Experience with cloud platforms (AWS, Azure, or GCP)
Exposure to MLOps tools and CI/CD pipelines for ML systems
Experience with real-time inference systems and streaming pipelines
Understanding of AI safety, governance, and responsible AI practices
Contributions to open-source AI/ML projects or research publications

We offer

Opportunity to work on bleeding-edge projects
Work with a highly motivated and dedicated team
Competitive salary
Flexible schedule
Benefits package - medical insurance, sports
Corporate social events
Professional development opportunities
Well-equipped office

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

Senior AI/ML Engineer – LLM & GenAI Platforms