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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.
Job Responsibility:
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
Requirements:
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
Nice to have:
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 we 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