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Gen AI Engineer

United States, Tampa, FL / Dallas TX 143000.00 USD / Year · Job Posted March 21, 2026
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Job Responsibility

  • Design and implement GenAI solutions using LLMs for text, code, and knowledge-based use cases
  • Develop prompt engineering, prompt orchestration, and reusable prompt libraries
  • Fine-tune and evaluate LLMs for enterprise-specific tasks
  • Integrate GenAI capabilities into applications, APIs, and workflows
  • Design and implement agentic architectures (planner, executor, evaluator, memory)
  • Build multi-agent systems with task decomposition, tool usage, and feedback loops
  • Enable agents to interact with enterprise tools, APIs, databases, and knowledge stores
  • Implement agent memory, reasoning chains, and self-reflection mechanisms
  • Define end-to-end AI solution architecture (cloud, APIs, security, observability)
  • Implement Retrieval-Augmented Generation (RAG) with vector databases
  • Ensure scalability, performance, reliability, and cost efficiency
  • Apply Responsible AI, governance, and compliance standards
  • Work closely with product owners, domain experts, and engineering teams
  • Translate business problems into AI-driven solutions
  • Support SDLC phases including design, development, testing, deployment, and support
  • Mentor junior engineers and contribute to AI best practices

Requirements

  • Strong experience with Python (mandatory)
  • exposure to Java/TypeScript is a plus
  • Hands-on experience with LLMs and GenAI frameworks (e.g., LangChain-style orchestration, agent frameworks)
  • Experience with Agentic AI concepts: planning, tool use, memory, multi-agent coordination
  • Experience with vector databases and semantic search
  • API integration and microservices architecture
  • Cloud platforms (Azure / AWS / GCP)
  • Understanding of NLP, deep learning, and transformer-based models
  • Experience with model evaluation, hallucination mitigation, and prompt optimization
  • Familiarity with Responsible AI, security, and data privacy principles
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