Senior Generative AI Engineer Python, Langchain, LangGraph, and SQL

We need Individual contributor (Exp 8+ Years), Candidate should be strong in LLM, RAG and other Gen AI Concept, There will be coding assessment

• Lead the end-to-end deployment of GenAI applications for customers—from discovery to delivery.
• Architect and implement robust, scalable solutions using Python, Langchain/Lang Graph, and LLM frameworks.
• Act as a trusted technical advisor to customers, understanding their needs and crafting tailored AI solutions.
• Collaborate closely with product, ML, and engineering teams to influence roadmap and core platform capabilities.
• Write clean, maintainable code and build reusable modules to streamline future deployments.
• Operate across cloud platforms (AWS, Azure, GCP) to ensure secure, performant infrastructure.
• Continuously improve deployment tools, pipelines, and methodologies to reduce time-to-value.

• 5–8+ years of experience in software engineering or solutions engineering, ideally in a customer-facing capacity.
• Proven expertise in Python, Langchain, Lang Graph, and SQL.
• Deep experience with engineering architecture, including APIs, microservices, and event-driven systems.
• Demonstrated success in designing and deploying GenAI applications into production environments.
• Strong proficiency with cloud services such as AWS, GCP, and/or Azure.
• Excellent communication skills, with the ability to translate technical complexity to customer-facing narratives.
• Comfortable working autonomously and managing multiple deployment tracks in parallel.

• Familiarity with CI/CD, infrastructure-as-code (Terraform, Pulumi), and container orchestration (Docker, Kubernetes).
• Background in LLM fine-tuning, retrieval-augmented generation (RAG), or AI/ML operations.
• Previous experience in a startup, consulting, or fast-paced customer-obsessed environment.

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.