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Posted on 2026/02/14

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

Ampstek

New York, NY, United States

Full-time

Job description Title: Generative AI Engineer

Location: New York,NY(Onsite)

Job Type: Fulltime

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

Key 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Education:

• Bachelor's, Master's, or Ph.

D. in Computer Science, Engineering, or a related technical field.

Thanks

Aatmesh

aatmesh.singh@ampstek.com Show full description

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