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Job Description

Altimetrik Corp is hiring a Senior AI Engineer (Google ADK) in Chicago, IL for a hybrid role with 3 days onsite. The position focuses on building, reviewing, and validating moderate to complex AI and ML solutions, including LLM and agent development using Google Vertex AI.

Key Responsibilities

  • Evaluate client area requirements and processes (including new enhancements or maintenance), review detailed designs, and develop moderate to complex application program solutions.
  • Maintain solution quality through peer code review, documentation creation, code implementation, program logic verification, defect root cause analysis, and unit and integration testing.
  • Participate in systems testing activities with other IT staff.
  • Contribute to high-level solution design.
  • Consult with the client area to analyze system requirements and capabilities, identify associated risks, and resolve issues.
  • Serve as a liaison between clients and the applications area when needed.
  • Research and evaluate new and/or alternative solutions, recommend the most efficient and cost-effective approach for system/program design, and develop system specifications and procedures.
  • Support potential integration of vendor applications and consulting resources into existing applications and resources.
  • In coordination with operations area technical staff, support implementation of the application into production and testing environments.
  • Confer with technical personnel to identify and resolve technical issues.

Required Qualifications

  • Senior-level proficiency in Python with experience in AI/ML development.
  • Strong understanding of Large Language Models (LLMs) and their operational mechanics.
  • Experience developing AI Agents on Google Vertex AI using Gemini or OpenAI.
  • Expertise in Prompt Engineering Best Practices.
  • Google Agent Development Kit (Google ADK).
  • Experience with LangChain and LangGraph.
  • Knowledge of Context Filtering and Prompting Security Best Practices.
  • Familiarity with observability and debugging tools: LangSmith, LangFuse, and Phoenix or Arize.
  • Experience with Eval AI testing and model evaluation workflows.

Technology Focus

  • Python, AI/ML, Large Language Models (LLMs)
  • Google Vertex AI, Gemini, OpenAI
  • Google Agent Development Kit
  • LangChain, LangGraph
  • Context Filtering, Prompting Security Best Practices
  • LangSmith, LangFuse, Phoenix, Arize
  • Eval AI

Location and Work Model

Chicago, IL (Hybrid) with 3 days onsite. Work Location: In person.

Benefits

  • Relocation assistance

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