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AI ML Engineer
Job description
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