Sr. AI Engineer I (5985)

AsSr. AI Engineer I, you'll design and optimize hybrid AI pipelines that combine deterministic logic and agentic behavior. This role involves fine-tuning large language models, applying reinforcement learning for decision-making, and integrating code-as-data approaches to enhance model performance and transparency. Ideal candidates bring deep expertise in LLMs, multi-agent systems, and secure, cloud-based AI infrastructure.

We know that you can't have great technology services without amazing people. At MetroStar, we are obsessed with our people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you'll do:

• Build and update hybrid deterministic-agentic AI pipelines using frameworks like LangChain and LlamaIndex to orchestrate modular, multi-step workflows.
• Fine-tune large language models for instruction-following, code synthesis, and domain-specific adaptation.
• Integrate code-as-data paradigms (ASTs, control/data flow graphs) to improve model explainability and trust.

What you'll need to succeed:

• An active Secret security clearance
• 5+ years overall experience building AI, ML, or data science applications
• 2+ years of experience in AI system design
• Experience fine-tuning LLMs and evaluating them using real-world benchmarks (HumanEval, BigCodeBench, CodeXGlue).
• Familiarity with multi-agent orchestration, agent frameworks (LangChain, Google ADK), and prompt engineering.
• Strong grasp of model context protocol (MCP) to standardize how models interact with APIs and external data sources, including legacy code bases.
• Excellent proficiency in Python, API development, and secure system design.

SALARY RANGE: $143,000 - $189,000

The salary range for this position is determined based on qualifications, skills, and relevant experience. The final salary offered will be determined based on several factors including:

• The candidate's professional background and relevant work experience
• The specific responsibilities of the role and organizational needs
• Internal equity and alignment with current team compensation
• This role is also eligible for additional compensation, subject to the terms and policies of MetroStar, which may include:




• Performance-based bonuses
• Company-paid training and/or certifications
• Referral bonuses