AI ML Engineer

AI/ML Engineer | Mangalore / Hybrid India | Full-Time

About the Opportunity

Abotts is proud to be recruiting on behalf of a high-growth, venture-backed technology startup that is redefining the intersection of Artificial Intelligence and Semiconductor/Hardware Systems Design. Our client is in stealth mode and not yet publicly named however, we can share the following:

• Backed by top-tier institutional investors with strong conviction and runway
• A seasoned founding team with deep domain expertise in hardware systems and enterprise software
• Established traction with marquee blue-chip enterprise customers across the US and India
• Operates as a hybrid workforce spanning the US, India, and international markets
• Culture rooted in rapid innovation, ownership, and impact-driven execution

This is a rare opportunity to join at a pivotal early stage with the upside, pace, and challenge that comes with it.

Role Overview

We are seeking a talented AI/ML Engineer at the Junior-to-Mid level who brings strong technical depth combined with early team leadership experience. You will define and drive the company’s AI technology development building and shipping production-grade GenAI and Agentic AI solutions while leading a small, high-caliber engineering team.

Key Responsibilities

• Architect and execute the roadmap for AI, GenAI, and Agentic AI capabilities
• Lead and mentor a small engineering team — translating vision into actionable plans with clear ownership
• Deliver rapid, high-quality implementations in a fast-paced, dynamic startup environment
• Collaborate cross-functionally with hardware and product teams to accelerate go-to-market timelines
• Contribute to the company’s thought leadership through white papers and patent filings

Required Qualifications

• BS/MS/PhD in Computer Science, Engineering, or a related field
• 2+ years of experience designing and deploying AI/GenAI solutions in production environments
• Proficiency in Python; hands-on experience with TensorFlow, PyTorch, and NLP frameworks
• Demonstrated experience training large language models and managing compute infrastructure
• Familiarity with NoSQL and Vector databases
• Working knowledge of DevOps practices: Git, CI/CD, Linux scripting
• Experience with GenAI evaluation and testing frameworks
• Prior experience leading or mentoring engineers

Preferred Qualifications

• Background in Engineering or exposure to hardware/semiconductor design is a plus
• Experience in a startup or high-growth technology environment
• Published research, patents, or open-source AI contributions

What’s on Offer

• Competitive compensation and may be meaningful early-stage equity (ESOPs)
• The chance to shape AI strategy at a company redefining an entire industry
• High-trust, high-accountability culture that rewards initiative
• Flexible hybrid work environment
• Full company details shared at first conversation stage