Lead GenAI & Agentic AI Engineer

Valiant Technologies LLC; Tampa (FL); On-site; USD 83,000 - 138,000; Full time

Job summary

Valiant Technologies LLC is seeking a hands-on GenAI Engineer in Tampa to architect and productionize secure AI agents. You will lead design across agent workflows, integration with enterprise data, and governance. This role requires deep experience with LangChain, ADK stacks and secure AI practices.

The position emphasizes Python/TypeScript services, multi-agent orchestration, and end-to-end delivery, with a 12-month+ extension potential. On-site Tampa involvement is expected.

Qualifications

• Hands-on experience building GenAI or agent-based systems.
• Experience integrating enterprise data sources for AI applications.
• Proficiency in Python and TypeScript for agent services.
• Knowledge of model governance, safety and security.

Responsibilities

• Architect single-agent and multi-agent solutions using Google ADK, LangGraph/LangChain, Microsoft Semantic Kernel, AutoGen, OpenAI Agents SDK.
• Design agent workflows with MCP, function calling, structured outputs, reusable skills, planning and human gates.
• Use Claude Code, GitHub Copilot agent mode, Devin, Cursor, OpenAI Codex for implementation and PR workflows.
• Build grounded enterprise AI experiences with advanced RAG, retrieval, knowledge graphs, and governed access.
• Engineer Python and TypeScript agent services with async execution, retries, checkpointing and idempotency.
• Implement agent evaluation and LLMOps with benchmarks, tracing, prompts, latency and SLOs.
• Apply enterprise AI security including prompt-injection defense, least privilege access, sandboxing and PII protection.
• Integrate agents with enterprise APIs, databases, events, documents and systems of record.

Tools

Google ADK

LangGraph/LangChain

Microsoft Semantic Kernel

AutoGen

OpenAI Agents SDK

Claude Code

GitHub Copilot agent

Job description

Valiant Technologies LLC is seeking a hands-on GenAI Engineer in Tampa to architect and productionize secure AI agents. You will lead design across agent workflows, integration with enterprise data, and governance. This role requires deep experience with LangChain, ADK stacks and secure AI practices.

The position emphasizes Python/TypeScript services, multi-agent orchestration, and end-to-end delivery, with a 12-month+ extension potential. On-site Tampa involvement is expected.