AI Engineer

Valiant Technologies LLC; Cupertino (CA); Presencial; USD 82 000 - 117 000; Tempo integral

Resumo da oferta

Valiant Technologies LLC in Cupertino, California is seeking an AI Engineer to design, build, and deploy AI agents and related automation in production. You will collaborate with product managers and engineers to implement multi-agent workflows, tool integrations, and reliable backend services using Python, FastAPI or Flask, and modern DevOps practices.

This 8+ month engagement features LLM APIs, RAG pipelines, and measurable outcomes such as time savings and accuracy improvements while working

Qualificações

• Around 5+ years of software engineering experience, backend and production systems.
• Around 2+ years building AI agents and agent-powered production applications.
• Experience with LLM APIs and multi-agent orchestration.
• Designing and deploying REST APIs and data models.
• Strong system design, data structures, and scalable architectures.
• Experience taking ownership from requirements to production support.
• Proficiency in Python, FastAPI/Flask, and DevOps basics.

Responsabilidades

• Collaborate with product managers to understand workflows and define success criteria for AI agents.
• Design, build, test, and deploy production-grade AI agents, automations, and tools using LLM APIs and frameworks.
• Create multi-agent workflows that automate complex business processes and coordinate through defined handoffs.
• Develop reliable agent orchestration, including tool integrations, context/state management, retries, and caching.
• Build backend services, APIs, integrations, and data models to support agent-powered apps.
• Integrate AI agents with internal platforms and external tools via APIs.
• Implement evaluation frameworks, guardrails, and human-in-the-loop approvals.
• Follow software engineering practices: version control, testing, CI/CD, monitoring, and staged deployments.
• Monitor production agent performance and continuously optimize workflows based on outcomes.

Conhecimentos

Backend development

Python

LLM APIs

Agent frameworks

Multi-agent orchestration

REST APIs

CI/CD

Git

PostgreSQL/MySQL

Docker

Ferramentas

FastAPI

Flask

PostgreSQL

SQL Server

Swagger/OpenAPI

Git

Docker

Descrição da oferta de emprego

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Title: AI Engineer
Location: Cupertino, California
Duration: 8 Months+ Extension
Bill Rate: $72/hour(C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discuss Later
Work Authorization: USC, GC, H-1B, OPT-EAD, GC-EAD, H4-EAD

Job Summary

An AI Engineer designs, builds, and deploys artificial intelligence applications, integrating machine learning models, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines into production systems

Responsibilities

• Work alongside Product Managers and domain experts to understand business workflows, identify problems, define requirements, and establish success criteria for agentic solutions.
• Design, build, test, and deploy production-grade AI agents, automations, and internal tools using LLM APIs, coding agents, and agent frameworks.
• Build multi-agent workflows that automate complex business processes, enabling agents to make decisions, execute tasks, and coordinate through defined workflows and handoffs.
• Develop reliable agent orchestration, including tool integrations, context management, state management, retries, caching, and failure handling.
• Build and maintain backend services, APIs, integrations, and data models to support agent-powered applications.
• Integrate AI agents with internal platforms, business systems, and external tools through APIs and other integrations.
• Implement evaluation frameworks, guardrails, quality checks, and human-in-the-loop approvals to ensure reliability and accuracy.
• Follow strong software engineering practices, including version control, code reviews, automated testing, CI/CD, monitoring, and staged deployments.
• Monitor production agent performance, identify areas for improvement, and continuously optimize agent workflows based on measurable outcomes.

Must-Have

• Around 5+ years of professional software engineering experience, particularly in backend development and production systems.Around 2+ years of hands‑on experience building AI agents and agent‑powered production applications using code.
• Strong experience with LLM APIs, agent frameworks, and multi‑agent orchestration.
• Proven experience designing, developing, and deploying production‑grade backend services, REST APIs, integrations, and data models.
• Experience building reliable AI agent workflows with tool calling, context and state management, error handling, and evaluation mechanisms.
• Strong understanding of system design, algorithms, data structures, access control, and scalable application architecture.
• Experience taking ownership of solutions end to end, from understanding requirements and designing workflows to implementation, deployment, and production support.
• Ability to work through ambiguity, communicate proactively, clarify requirements, and collaborate with stakeholders.
• A strong builder mindset with the ability to measure outcomes such as time saved, errors reduced, and process efficiency improved.
• Software Engineering Skills Strong backend development experience using Python.
• Experience building REST APIs using FastAPI or Flask. Strong understanding of system design, API design, data modeling, and scalable architectures.
• Experience with relational databases such as PostgreSQL, MySQL, or SQL Server. Understanding of schema design, joins, indexing, and query optimization. Experience with Git, code reviews, automated testing, CI/CD, and production monitoring. Ability to translate ambiguous requirements into clear technical designs and implementation plans.
• AI Agent Engineering Skills Hands‑on experience building AI agents using LLM APIs, SDKs, and agent frameworks. Experience designing and implementing multi‑agent orchestration and agent workflows. Strong understanding of tool calling, context management, state management, and agent execution.
• Experience integrating agents with APIs, business systems, and external tools. Ability to implement evaluation frameworks, guardrails, retries, failure handling, and human‑in‑the‑loop workflows.
• Experience deploying and maintaining AI agents in production environments with real users and measurable outcomes.
• Ability to determine when to use AI agents versus simpler automation approaches.
• Experience with agent frameworks such as Google ADK and LangGraph. Experience with Electron-based desktop applications.
• Knowledge of API documentation using Swagger/OpenAPI.
• Basic DevOps knowledge, including Docker and CI/CD.
• Experience with unit and integration testing.

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.