Senior AI Engineer
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