Gen AI Tech Lead

About BELVA AI

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 seeking a talented and experiencedGen AI Tech Leadto join our team. We are a dynamic and innovative AI start-up passionate about bringing cutting-edge products to market, searching for an individual who can lead the charge in developing web applications that make an impact in the lives of millions.

Role and Responsibilities:

As the Gen AI Tech Lead, you will work closely with our AI / ML and Data Engineers to turn Machine Learning models and data pipelines into robust software applications.

You will play a central role in designing and developing our core AI / ML solutions. You will be working as a part of a highly experienced and fast-moving team of passionate product builders.

Bringing to the table:

• 10+ years of overall experience building software solutions.
• 5+ years of experience working with Python.
• 2+ years working in AI / ML.
• 1+ years working in GenAI.
• B.S. or above degree in Computer Science or 15+ years overall experience.
• Excellent communication and organizational skills.
• Successful track record in proactive technical leadership.

Experience working with:

• Building agentic workflows.
• LLM orchestration frameworks like LangChain.
• Advanced Prompt Engineering and management (registries, A/B testing).
• Fine-tuned and hosted models (including Llama or DeepSeek or others).
• LLM evaluation and production monitoring.
• RAG-power applications.

Familiarity with:

• Model Context Protocol (MCP).
• Synthetic data generation.
• Classic ML techniques and models.

Nice to haves:

• Experience working with AWS and Bedrock specifically.
• Experience working with Voice APIs.
• Experience working multi-modal LLM APIs.
• Prior management experience.
• Experience building HITL workflows / UX.