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GenAI AI Engineer

GenAI AI Engineer

Drillo.AIDallas, TX, US
1 day ago
Job type
  • Full-time
Job description

Title : GenAI AI Engineer

Location : Dallas, TX / Salt Lake City, UT / New York, NY

Employment Type : Full time

Note : This role is only for US Citizens , Green Card, EAD

What you'll do :

  • Build agentic AI systems : Design and implement tool-calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocol. Engineer robust guardrails for safety, compliance, and least-privilege access.
  • Productionize LLMs : Build evaluation framework for open-source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations.
  • Integrate with runtime ecosystems : Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability.
  • Collaborate directly with users : Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps; define objective functions linked to reliability, risk reduction, and cost; and deliver auditable, business-aligned outcomes.

ESSENTIAL SKILLS

  • 5+ years of software development in one or more languages (Python, C / C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred.
  • 3+ years designing, architecting, testing, and launching production ML systems, including model deployment / serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows.
  • Practical experience with Large Language Models (LLMs) : API integration, prompt engineering, fine-tuning / adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution).
  • Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude).
  • Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions.
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