Moative

About Moative

Moative, an Applied AI company, designs and builds transformation AI solutions for traditional industries in energy, utilities, healthcare & lifesciences, and more. Through Moative Labs, we build AI micro-products and launch AI startups with partners in vertical markets that align with our theses.

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.

Our Team: Our team of 20+ employees consist of data scientists, AI/ML Engineers, and mathematicians from top engineering and research institutes such as IITs, CERN, IISc, UZH, Ph.Ds. Our team includes academicians, IBM Research Fellows, and former founders.

Work you’ll do

As a Full Stack AI Developer 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 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 users by transforming how services are delivered and experienced. You'll be working on challenging and impactful projects that move the needle on traditionally difficult-to-automate processes.

Responsibilities

• Design and develop AI powered applications, including intuitive user interfaces at the front-end and robust back-end of web applications.
• Develop full-stack features in cloud-native environments with proficiency in HTML, CSS, JavaScript (popular frameworks such as React or Angular) as well as server-side languages such as Node.js and Python. 
• Utilize and adapt foundational models and mulit-modal LLMs (voice, image, text) as the core building blocks for developing impactful products aimed at improving service delivery. This includes prompt engineering, fine-tuning, and evaluating model performance
• Architect, build, and deploy intelligent agentic AI workflows that automate and optimize key processes. You will be involved in the full lifecycle from conceptualization and design to implementation and monitoring.
• Contribute directly to enhancing our model evaluation, monitoring and fine-tuning methodologies to ensure robust and reliable system performance. 
• 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 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 have experience in developing and deploying real-world applications, including ensuring integration between user interfaces and server-side logic. You are excellent at writing clean, efficient code for both front-end and backend, and have strong ability to conduct regular testing and debugging to ensure optimal performance and a smooth user experience. You are excited at the possibility of embedding AI technologies to develop intelligent applications that can directly impact business services and make a positive difference to users.

Skills & Requirements

• 3+ years of experience in full stack development
• Proficiency in HTML, CSS, JavaScript (popular frameworks such as React or Angular).
• Strong knowledge of server-side languages such as Node.js and Python.
• Experience with databases like MySQL, PostgreSQL, or MongoDB.
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and containerization, DevOps (Docker, Kubernetes)
• Familiarity with version control systems, especially Git.
• 1 year experience with AI models and tools, including deploying multi-modal LLMs (text, images, voice) as part of business applications.
• 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

Moative, an Applied AI company, designs and builds transformation AI solutions for traditional industries in energy, utilities, healthcare & lifesciences, and more. Through Moative Labs, we build AI micro-products and launch AI startups with partners in vertical markets that align with our theses.

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.

Our Team: Our team of 20+ employees consist of data scientists, AI/ML Engineers, and mathematicians from top engineering and research institutes such as IITs, CERN, IISc, UZH, Ph.Ds. Our team includes academicians, IBM Research Fellows, and former founders.

Work you’ll do

As a Data Scientist at Moative, you’ll play a crucial role in extracting valuable insights from data to drive informed decision-making. You’ll work closely with cross-functional teams to build predictive models and develop solutions to complex business problems. You will also be involved in conducting experiments, building POCs and prototypes.

Responsibilities

• Support end-to-end development and deployment of ML/ AI models - from data preparation, data analysis and feature engineering to model development, validation and deployment
• Gather, prepare and analyze data, write code to develop and validate models, and continuously monitor and update them as needed.
• Collaborate with domain experts, engineers, and stakeholders in translating business problems into data-driven solutions
• Document methodologies and results, present findings and communicate insights to non-technical audiences

Skills & Requirements

• Proficiency in Python and familiarity with basic Python libraries for data analysis and ML algorithms (such as NumPy, Pandas, ScikitLearn, NLTK). 
• Strong understanding and experience with data analysis, statistical and mathematical concepts and ML algorithms 
• Working knowledge of cloud platforms (e.g., AWS, Azure, GCP).
• Broad understanding of data structures and data engineering.
• Strong communication skills
• Strong collaboration skills, continuous learning attitude and a problem solving mind-set

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 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 here. 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 be present in the city. We intend to move to a hybrid model in a few months time.

About Moative

Moative, an Applied AI company, designs and builds transformation AI solutions for traditional industries in energy, utilities, healthcare & lifesciences, and more. Through Moative Labs, we build AI micro-products and launch AI startups with partners in vertical markets that align with our theses.

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.

Our Team: Our team of 20+ employees consist of data scientists, AI/ML Engineers, and mathematicians from top engineering and research institutes such as IITs, CERN, IISc, UZH, Ph.Ds. Our team includes academicians, IBM Research Fellows, and former founders.

Work you’ll do

As a Data Engineer, you will work on data architecture, large-scale processing systems, and data flow management. You will build and maintain optimal data architecture and data pipelines, assemble large, complex data sets, and ensure that data is readily available to data scientists, analysts, and other users. In close collaboration with ML engineers, data scientists, and domain experts, you’ll deliver robust, production-grade solutions that directly impact business outcomes. Ultimately, you will be responsible for developing and implementing systems that optimize the organization’s data use and data quality.

Responsibilities

• Create and maintain optimal data architecture and data pipelines on cloud infrastructure (such as AWS/ Azure/ GCP)
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements
• Build the pipeline infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Support development of analytics that utilize the data pipeline to provide actionable insights into key business metrics
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs

Who you are

You are a passionate and results-oriented engineer who understands the importance of data architecture and data quality to impact solution development, enhance products, and ultimately improve business applications. 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 have experience in developing and deploying data pipelines to support real-world applications. You have a good understanding of data structures and are excellent at writing clean, efficient code to extract, create and manage large data sets for analytical uses. You have the ability to conduct regular testing and debugging to ensure optimal data pipeline performance. You are excited at the possibility of contributing to intelligent applications that can directly impact business services and make a positive difference to users.

Skills & Requirements

• 3+ years of hands-on experience as a data engineer, data architect or similar role, with a good understanding of data structures and data engineering.
• Solid knowledge of cloud infra and data-related services on AWS (EC2, EMR, RDS, Redshift) and/ or Azure.
• Advanced knowledge of SQL, including writing complex queries, stored procedures, views, etc.
• Strong experience with data pipeline and workflow management tools (such as Luigi, Airflow).
• Experience with common relational SQL, NoSQL and Graph databases.
• Strong experience with scripting languages: Python, PySpark, Scala, etc.
• Practical experience with basic DevOps concepts: CI/CD, containerization (Docker, Kubernetes), etc
• Experience with big data tools (Spark, Kafka, etc) and stream processing.
• Excellent communication skills to collaborate with colleagues from both technical and business backgrounds, discuss and convey ideas and findings effectively.
• Ability to analyze complex problems, think critically for troubleshooting and develop robust data solutions.
• Ability to identify and tackle issues efficiently and proactively, conduct thorough research and collaborate to find long-term, scalable solutions.

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.