Artificial Intelligence Engineer

1 week ago


Chennai, Tamil Nadu, India Moative Innovation Works Full time ₹ 10,00,000 - ₹ 25,00,000 per year

AI Engineer

About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive

AI solutions for companies in energy, utilities, packaging, commerce, and other primary

industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in

vertical markets.

Our Past: We have built and sold two companies, one of which was an AI company. Our

founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful

entrepreneurs.

Work you will do

As an AI Engineer at Moative, you will be at the forefront of applying cutting-edge AI to solve

real-world problems. You will be instrumental in designing and developing intelligent software

solutions, leveraging the power of foundation models to automate and optimize critical

workows. Collaborating closely with domain experts, data scientists, and ML engineers, you

will integrate advanced ML and AI technologies into both existing and new systems. This role

oers a unique opportunity to explore innovative ideas, experiment with the latest foundation

models, and build impactful products that directly enhance the lives of citizens by transforming

how government services are delivered. You'll be working on challenging and impactful

projects that move the needle on traditionally diicult-to-automate processes.

Responsibilities

  • Utilize and adapt foundation models, particularly in vision and data extraction, as the

    core building blocks for developing impactful products aimed at improving government

    service delivery. This includes prompt engineering, ne-tuning, and evaluating model

    performance
  • Architect, build, and deploy intelligent AI agent-driven workows that automate and

    optimize key processes within government service delivery. This encompasses the full

    lifecycle from conceptualization and design to implementation and monitoring
  • Contribute directly to enhancing our model evaluation and monitoring methodologies

    to ensure robust and reliable system performance. Proactively identify areas for

    improvement and implement solutions to optimize model accuracy and eiciency
  • Continuously learn and adapt to the rapidly evolving landscape of AI and foundation

    models, exploring new techniques and technologies to enhance our capabilities and

    solutions

Who you are

You are a passionate and results-oriented engineer who is driven by the potential of AI/ML to

revolutionize processes, enhance products, and ultimately improve user experiences. You thrive

in dynamic environments and are comfortable navigating ambiguity. You possess a strong

sense of ownership and are eager to take initiative, advocating for your technical decisions

while remaining open to feedback and collaboration.

You are adept at working with real-world, often imperfect data, and have a proven ability to

develop, rene, and deploy AI/ML models into production in a cost-eective and scalable

manner. You are excited by the prospect of directly impacting government services and making

a positive dierence in the lives of citizens

Skills & Requirements

  • 3+ years of experience in programming languages such as Python or Scala
  • Proficient knowledge of cloud platforms (e.g., AWS, Azure, GCP) and containerization,

    DevOps (Docker, Kubernetes)
  • Tuning and deploying foundation models, particularly for vision tasks and data

    extraction
  • Excellent analytical and problem-solving skills with the ability to break down complex

    challenges into actionable steps
  • Strong written and verbal communication skills, with the ability to eectively articulate

    technical concepts to both technical and non-technical audiences

Working at Moative

Moative is a young company, but we believe strongly in thinking long-term, while acting with

urgency. Our ethos is rooted in innovation, eiciency and high-quality outcomes. We believe the

future of work is AI-augmented and boundary less. Here are some of our guiding principles:

  • Think in decades. Act in hours. As an independent company, our moat is time. While

    our decisions are for the long-term horizon, our execution will be fast measured in

    hours and days, not weeks and months.
  • Own the canvas. Throw yourself in to build, x or improve anything that isnt done

    right, irrespective of who did it. Be selsh about improving across the organization

    because once the rot sets in, we waste years in surgery and recovery.
  • Use data or don't use data. Use data where you ought to but not as a cover-my-back

    political tool. Be capable of making decisions with partial or limited data. Get better at

    intuition and pattern-matching. Whichever way you go, be mostly right about it.
  • Avoid work about work. Process creeps on purpose, unless we constantly question it.

    We are deliberate about committing to rituals that take time away from the actual work.

    We truly believe that a meeting that could be an email, should be an email and you dont

    need a person with the highest title to say that out loud.
  • High revenue per person. We work backwards from this metric. Our default is to

    automate instead of hiring. We multi-skill our people to own more outcomes than hiring

    someone who has less to do. We dont like squatting and hoarding that comes in the

    form of hiring for growth. High revenue per person comes from high quality work from

    everyone. We demand it.

If this role and our work is of interest to you, please apply. We encourage you to apply even if

you believe you do not meet all the requirements listed above.

That said, you should demonstrate that you are in the 90th percentile or above. This may mean

that you have studied in top-notch institutions, won competitions that are intellectually

demanding, built something of your own, or rated as an outstanding performer by your current

or previous employers.

The position is based out of Chennai. Our work currently involves signicant in-person

collaboration and we expect you to work out of our oices in Chennai.



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