Sr. Generative AI Engineer

Belva; Northern (KY); Hybrid; USD 150,000 - 190,000; Full time

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

At Belva, we’re not just building technology — we’re redefining how people interact with it.

We believe tech should serve a higher purpose: making life better. Our mission is to liberate people from repetitive work so they can focus on what truly matters. With ethical, privacy-first AI at our core, we empower individuals and organizations to work smarter and reclaim their time.

Belva is a trailblazing AI company fueled by curiosity, grit, and an unwavering commitment to progress. We value passion, attitude, and potential over pedigrees — because while skills can be learned, vision and leadership come from within. If you're ready to help shape the future of AI and build tools that truly serve people, we’d love to hear from you.

Position Overview

We are looking for a hands-on and highly capable Sr. Gen AI Engineer to join our growing AI team. As an early team member at a fast-paced and ambitious AI start-up, you’ll play a key role in building production-grade AI applications that integrate cutting‑edge GenAI capabilities.

Requirements

As a Sr. Gen AI Engineer, you will collaborate with other engineers to build, evaluate, and iterate on AI-powered systems. You'll bring a deep understanding of GenAI technologies and strong software engineering skills to bear on solving real-world problems through well-architected, testable, and observable solutions.

NOTE: Must be a Citizen or Green Card Holder and live in the United States.

Required Experience:

• B.S. degree in Computer Science (or equivalent field) or 10+ years of experience in the software development / AI field


• 7+ years of overall software development experience


• 2+ years of hands‑on experience working closely with Generative AI systems


• Understanding of strengths and weaknesses of various foundational models


• Advanced proficiency in Python, especially with AI/ML libraries and tooling


• Expertise in prompt engineering, including structured prompt design and optimization


• Experience creating agentic workflows and using orchestration frameworks (e.g., LangChain, LangGraph)


• Exposure to human-in-the-loop (HITL) workflows and agent UX considerations


• Experience building chat-based UX features


• Solid understanding of best practices in context engineering


• Demonstrated ability to evaluate and monitor LLM models in production, including A/B testing and observability practices


• Experience generating and using synthetic datasets for evaluation or testing


• Startup experience—comfortable wearing multiple hats and working with ambiguity


• Outstanding communication skills—clear, concise, and effective in both writing and speech

Nice to haves:

• Experience integrating agents via Model Context Protocol (MCP)


• Experience with fine-tuning open-source LLMs and managing LLM Ops workflows


• Familiarity with AWS, voice APIs, or multi-modal LLMs