Senior Gen AI Engineer — Build Production AI Apps

Belva

Northern (KY)

Hybrid

USD 150,000 - 190,000

Full time

10 days ago
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Job summary

Belva is seeking a hands-on Senior Gen AI Engineer to join our growing AI team. As an early team member in a fast-paced startup, you will build production-grade AI applications that integrate cutting-edge GenAI capabilities.

You will collaborate with engineers to design, implement, and iterate AI-powered systems, applying deep GenAI knowledge and strong software engineering skills to solve real-world problems with observable, testable solutions.

Qualifications

  • B.S. in CS (or equivalent) or 10+ years in software/AI.
  • 7+ years of software development experience.
  • 2+ years working with Generative AI systems.
  • Understanding strengths/weaknesses of foundational models.
  • Proficiency in Python and AI/ML libraries.
  • Experience on prompt engineering and structured prompts.

Responsibilities

  • Collaborate with engineers to build AI-powered systems.
  • Develop production-grade GenAI applications and iterate on them.
  • Design architectures that are well-architected, testable, and observable.
  • Lead evaluation, monitoring, and A/B testing of LLM models.
  • Create agentic workflows and manage HITL considerations.
  • Develop chat-based UX features and context-engineering practices.
  • Ensure robust observability and data quality for model outputs.

Skills

Strong communication
Startup experience
Ambiguity handling
Team collaboration

Education

B.S. in Computer Science

Tools

Python
LangChain
LangGraph
LLM tooling
A/B testing
Observability tooling
AWS

Job description

Belva is seeking a hands-on Senior Gen AI Engineer to join our growing AI team. As an early team member in a fast-paced startup, you will build production-grade AI applications that integrate cutting-edge GenAI capabilities.

You will collaborate with engineers to design, implement, and iterate AI-powered systems, applying deep GenAI knowledge and strong software engineering skills to solve real-world problems with observable, testable solutions.

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