GenAI Engineer

Ethereum Technologies; Tampa (FL); On-site; USD 89,000 - 126,000; Full time

Job summary

Ethereum Technologies in Tampa is seeking a GenAI Engineer to architect and productionize secure, autonomous AI agents with human supervision as needed. You will drive data integration, governance, and reliable execution across enterprise environments.

The role emphasizes agent design, LLM application engineering, and AI-assisted software delivery, including evaluation, safety, and production operations for scalable adoption.

Qualifications

• Hands-on lead AI engineer with GenAI experience.
• Ability to design and productionize autonomous AI agents.
• Experience with enterprise data integration and governance.

Responsibilities

• Architect single- and multi-agent solutions using leading tools.
• Design agent workflows with MCP, function calling and memory.
• Implement agent services in Python/TypeScript with robust patterns.
• Evaluate agents using SLOs, tracing and cost controls.
• Ensure enterprise security: data privacy, access controls, sandboxing.
• Integrate agents with enterprise APIs, databases and events.
• Collaborate with product, risk, cyber and platform teams.

Skills

Agent design

LLM application engineering

Python

TypeScript

AI governance

Tools

Google ADK

LangGraph/LangChain

Microsoft Semantic Kernel

AutoGen

OpenAI Agents SDK

Claude Code

GitHub Copilot

Job description

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

Job Title: GenAI Engineer

Location: Tampa FL

Duration: 12 Months + Extension

Bill Rate: $78/hour

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

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

Job Description

Role Overview: We are seeking a hands-on Lead Agentic AI & GenAI Engineer to architect and productionize secure, autonomous and human-supervised AI agents. The role emphasizes agent design, LLM application engineering, AI-assisted software deli0076ery, evaluation, safety, and production operations, with sufficient data integration skills to connect governed enterprise sources.

Key Responsibilities

• Architect single-agent and multi-agent solutions using Google ADK, LangGraph/LangChain, Microsoft Semantic Kernel, AutoGen, OpenAI Agents SDK.
• Design agent workflows using Model Context Protocol (MCP), function calling, structured outputs, reusable skills, planning, state, memory, A2A handoffs, and human approval gates.
• Use Claude Code, GitHub Copilot agent mode/coding agent, Devin, Cursor, OpenAI Codex for implementation, testing, refactoring, documentation, and pull-request workflows.
• Build grounded enterprise AI experiences using advanced RAG, hybrid retrieval, reranking, knowledge graphs, citations, context engineering, and governed model access.
• Engineer reliable Python and TypeScript agent services with asynchronous execution, retries, checkpointing, idempotency, rollback, escalation, and long-running workflow patterns.
• Implement agent evaluation and LLMOps using task-success benchmarks, ARIZE tracing, prompt/version management, latency and token-cost controls, and production SLOs.
• Apply enterprise AI security including prompt-injection defense, least-privilege tool access, sandboxing, PII protection, content safety, auditability, red teaming, and policy enforcement.
• Integrate agents with enterprise APIs, databases, events, documents, and Systems of Record, partnering with product, operations, risk, cyber, architecture, and platform teams.

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.