AI Engineer

Job Title: Full Stack Developer (AI)

Location: Remote

Duration: 12 Months + Extension

Bill Rate: $90/hr

Job Type: W2 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description:

We're looking for an AI Engineer to design and build production-grade AI agents using Google's Agent Development Kit (ADK). You'll work on multi-agent systems that integrate with enterprise data platforms and business tools, taking agents from prototype through to reliable production deployment.

What You'll Work On

Designing and building AI agents and multi-agent workflows using ADK

Agent orchestration patterns: tool use, function calling, sub-agent delegation, and state/session management

Integrating agents with enterprise data sources (Snowflake, Salesforce, or similar) and internal APIs

Deploying and scaling agents on Google Cloud (Vertex AI Agent Engine or equivalent)

Evaluating and tuning agent performance, latency, and cost across different model backends

Building tooling and guardrails around agent behavior: observability, testing, and safety checks

Collaborating with data engineering and platform teams to expose reliable, well-governed data to agents

Must Have

Hands-on experience building agents with Google ADK (or comparable agent frameworks such as LangGraph, AutoGen, CrewAI, with strong ability to ramp on ADK)

Strong Python development skills

Experience with LLM APIs (Gemini, Claude, OpenAI, or similar) and prompt/tool design

Understanding of agent architecture patterns: planning, tool orchestration, memory/state, multi-agent coordination

Experience with REST APIs and backend service integration

Familiarity with Google Cloud Platform (Vertex AI, Cloud Run, IAM, Secrets Manager)

Good to Have

Experience with Model Context Protocol (MCP) or other agent-to-tool integration standards

SQL proficiency, ideally with Snowflake (CTEs, Dynamic Tables, Views)

Experience with Snowflake Cortex / Cortex Analyst

Familiarity with Salesforce data models (Account IDs, object relationships)

Experience with evaluation frameworks for LLM/agent output quality

Background integrating agents into existing enterprise applications (React/Next.js, Node.js/NestJS)

Requirements

8+ years of software engineering experience, with recent focus on applied AI/agent systems

Strong Python skills; TypeScript/JavaScript a plus

Experience shipping AI features to production, not just prototypes

Comfortable working independently in ambiguous, fast-evolving technical territory.

Equal opportunity employer: 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.