AI ML Engineer

Abotts Inc

Mangaluru

Hybrid

INR 1,000,000 - 2,000,000

Full time

14 days+

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Benefits offered by this job

Competitive compensation
Meaningful early-stage equity (ESOPs)
Flexible hybrid work environment

Job summary

Abotts Inc is seeking a Junior-to-Mid level AI/ML Engineer to define and lead the company’s AI technology development. You will ensure the delivery of production-grade AI solutions while mentoring a small engineering team.

The position offers competitive compensation and a chance to shape AI strategy in a dynamic work environment that spans multiple regions.

Qualifications

  • 2+ years of experience designing and deploying AI solutions in production.
  • Hands-on experience with NLP frameworks for model training.
  • Familiarity with Git, CI/CD, and Linux scripting.

Responsibilities

  • Architect the roadmap for AI and Agentic AI capabilities.
  • Lead and mentor a small high-caliber engineering team.
  • Collaborate cross-functionally with hardware and product teams.

Skills

Proficiency in Python
Experience with TensorFlow
Experience with PyTorch
Knowledge of NLP frameworks
Experience training large language models
DevOps practices

Education

BS/MS/PhD in Computer Science or Engineering

Tools

NoSQL databases
Vector databases

Job description

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
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