AI engineer

Machine Learning Technologies, LLC; Sunnyvale (TX); Presencial; USD 180.000 - 240.000; Jornada completa

Descripción de la vacante

Machine Learning Technologies, LLC in Sunnyvale, TX seeks a senior engineer to lead GenAI deployments end-to-end, from discovery to delivery. You will design scalable Python-based solutions using Langchain, LangGraph, and LLMs, and collaborate with product and ML teams to shape the roadmap.

With 10+ years of experience, you will drive secure cloud implementations across AWS, GCP, and Azure while translating complex concepts for customers. This role offers high impact in a fast-paced environment.

Formación

• 10+ years of experience in software or solutions engineering, customer-facing.
• Proven expertise in Python, Langchain, LangGraph, and SQL.
• Deep experience with APIs, microservices, and event-driven systems.
• Demonstrated success deploying GenAI applications into production.
• Strong proficiency with cloud services such as AWS, GCP, and Azure.
• Excellent communication skills translating technical concepts to customers.
• Comfortable working autonomously and managing multiple deployment tracks.

Responsabilidades

• Lead end-to-end deployment of GenAI applications 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 needs and crafting tailored AI solutions.
• Collaborate with product, ML, and engineering teams to influence roadmap and platform capabilities.
• Write clean, maintainable code and build reusable modules to streamline 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.

Conocimientos

Python

Langchain

LangGraph

SQL

APIs & microservices

GenAI deployment

Cloud platforms

Communication skills

Autonomous work

Herramientas

Terraform

Pulumi

Docker

Kubernetes

Descripción del empleo

• 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.