Ampstek · 2 hours ago
Senior Generative AI Engineer with Python, Langchain, LangGraph, and SQL experience
Ampstek is seeking a Senior Generative AI Engineer to lead the deployment of AI applications for customers. The role involves architecting scalable solutions, acting as a technical advisor, and collaborating with various teams to enhance platform capabilities.
Responsibilities
Lead the end-to-end deployment of GenAI applications for customers—from discovery to delivery
Architect and implement robust, scalable solutions using Python, Langchain/LangGraph, 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
Qualification
Required
5–8+ years of experience in software engineering or solutions engineering, ideally in a customer-facing capacity
Proven expertise in Python, Langchain, LangGraph, 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
Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field
Preferred
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