AI engineer

Valiant Technologies LLC; Sunnyvale (TX); On-site; USD 180,000 - 280,000; Full time

Job summary

Valiant Technologies LLC is seeking a senior GenAI deployment lead to guide end-to-end customer projects from discovery through delivery. You will architect scalable GenAI solutions using Python, Langchain/LangGraph, and LLM frameworks, while acting as a trusted technical advisor and collaborating with product, ML, and engineering teams.

The role requires 10+ years in software/solutions engineering, deep cloud experience (AWS/GCP/Azure), and strong communication skills to translate complex tech

Qualifications

• 10+ 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.

Responsibilities

• Lead 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.

Skills

Python

Langchain

LangGraph

SQL

APIs

Cloud concepts

Communication skills

Tools

AWS

GCP

Azure

Docker

Kubernetes

CI/CD

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.