
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’ll 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 workflows. 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 offers 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 difficult-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, fine-tuning, and evaluating model performance
- Architect, build, and deploy intelligent AI agent-driven workflows 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 efficiency
- 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, refine, and deploy AI/ML models into production in a cost-effective and scalable manner. You are excited by the prospect of directly impacting government services and making a positive difference in the lives of citizens
Skills & Requirements
- 1-3 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 effectively 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, efficiency 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, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish 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 don’t 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 don’t 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 significant in-person collaboration and we expect you to work out of our offices in Chennai.

About Moative
About
Are you ready to be at the forefront of the AI revolution? Moative is your gateway to reshaping industries through cutting-edge Applied AI Services and innovative Venture Labs.
Moative is an AI company that focuses on automating tasks, compressing workflows, predicting demand, pricing intelligently, and delighting customers. They design AI roadmaps, build co-pilots, and create predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries.
🚀 What We Do
At Moative, we're not just using AI – we're redefining its potential. Our mission is to empower businesses in energy, utilities, packaging, commerce, and other primary industries with AI solutions that drive unprecedented productivity and growth.
🔬 Our Expertise:
- Design tailored AI roadmaps
- Build intelligent co-pilots for specialists
- Develop predictive AI solutions
- Launch AI micro-products through Moative Labs
💡 Why Moative?
- Innovation at Core: We're constantly pushing the boundaries of AI technology.
- Industry Impact: Our solutions directly influence the cost of goods sold, helping clients surpass industry profit margins.
- Customized Approach: We fine-tune fundamental AI models to create unique, intelligent systems for each client.
- Continuous Learning: Our systems evolve and improve, ensuring long-term value.
🧑🦰Founding Team
Shrikanth and Ashwin, IIT-Madras alumni have been riding technology waves since the dotcom era. Our latest venture, PipeCandy (Data & Predictions on 12 million eCommerce sellers) was acquired in 2021. We have built analytical models for industrial giants, advised enterprise AI platforms on competitive positioning, and built 70 member AI team for our portfolio companies since 2023.
Candid answers by the company
Moative is an AI company that focuses on automating tasks, compressing workflows, predicting demand, pricing intelligently, and delighting customers. They design AI roadmaps, build co-pilots, and create predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries.
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Job Overview
We are seeking an experienced Senior Solution Architect to join our dynamic DevOps organization. The ideal candidate will have a strong background in cloud technologies, with expertise in migration projects across platforms such as GCP, AWS, and Azure. The candidate should possess a deep understanding of DevOps principles, Kubernetes orchestration, Data migration & management and automation tools like CI/CD pipelines and Terraform.The individual should be highly skilled in designing scalable application architectures capable of handling substantial workloads while ensuring the highest standards of quality.
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The Opportunity
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