AI engineer

Quantum Technologies. LLC; Sunnyvale (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Quantum Technologies. LLC in the United States seeks a senior GenAI Deployment Lead to guide end-to-end customer solutions, from discovery to delivery. You will architect scalable systems using Python, Langchain/LangGraph, and modern LLM frameworks across AWS, Azure, and GCP.

You’ll collaborate with product, ML and engineering teams to shape roadmaps, write clean reusable code, and accelerate time-to-value. Exceptional communication and 10+ years in software/solutions engineering are essential.

Qualifications

• 10+ years of experience in software/solutions engineering, preferably customer-facing.
• Proven Python, Langchain, LangGraph, SQL expertise.
• Deep experience with engineering architecture, APIs, microservices, events.
• Experience designing and deploying GenAI applications into production.
• Strong cloud proficiency (AWS, GCP, Azure).
• Excellent communication translating tech to customers.

Responsibilities

• Lead end-to-end GenAI deployments from discovery to delivery.
• Architect scalable solutions using Python, Langchain/LangGraph, and LLMs.
• Act as trusted technical advisor to customers and tailor AI solutions.
• Collaborate with product, ML, and engineering to influence roadmap.
• Write clean, reusable code and deployable modules.
• Operate across AWS/Azure/GCP to ensure secure infra.
• Improve deployment tools and pipelines to reduce time-to-value.

Skills

10+ years experience in software/solns

Python

Langchain

LangGraph

SQL

Engineering architecture

GenAI deployments

Cloud services (AWS/GCP/Azure)

Communication skills

Tools

Docker

Kubernetes

Terraform

Pulumi

Job description

• 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

• 10+ years of experience in software engineering or solutions engineering , ideally in a customer-facing capacity.
• Proven expertise inPython,Langchain,LangGraph, andSQL.
• Deep experience with engineering architecture, including APIs, microservices, and event-driven systems
• Demonstrated success indesigning and deploying GenAI applicationsinto production environments
• Strong proficiency withcloud servicessuch asAWS,GCP, and/orAzure.
• 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.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.