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Lead AI Engineer

MathCo India


Job Location:

Bengaluru - India

Monthly Salary: INR 3980000 - 4100000
Posted: 22 August 2026 (21 hours ago)
Application Deadline: 19 November 2026
Vacancies: 1 Vacancy

Job Summary

Designation: Lead AI Engineer

Location: IND- Bangalore

About Us

TheMathCompany or MathCo is a global Enterprise AI and Analytics company trusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016 MathCo builds custom AI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybrid model. NucliOS MathCos proprietary platform with pre-built workflows and reusable plug-and-play modules enables the vision of connected intelligence at a lower TCO.

For our employees we foster an open transparent and collaborative culture with no barriers making MathCo a great place to work. We provide exciting growth opportunities value capabilities and attitude over experience enabling the Mathemagicians to Leave a Mark.

Job Responsibilities

Your role will entail:

Responsible for leading a team of talented AI Analysts or Engineers responsible for designing building and maintaining scalable AI solutions

Develop and implement advanced Generative AI solutions (LLMs embeddings retrieval techniques prompt engineering)

Ensure that data architectures and infrastructures can scale seamlessly as the data volume and complexity grow

Lead mentor and develop a team of AI Engineers fostering a collaborative and inclusive team environment

Identify and address skill gaps and provide opportunities for professional development

Coordinate with stakeholders to gather requirements set priorities and define project timelines

Ensure projects align with overall business objectives and data strategy

Ensure data quality integrity and security across all data engineering projects

Identify opportunities for process improvements and drive initiatives to enhance the efficiency and effectiveness of data operations

Ability to build/drive reusable frameworks that can drive efficiency of the overall data system

Manages conversation with the client stakeholders to understand the requirement and translate it into technical outcomes

Tech:

Experience of 6-10 years in development and deployment of scalable AI/ML solutions

Has strong execution knowledge of Data Modeling Databases in general (SQL and NoSQL) software development lifecycle and practices unit testing functional programming etc

Develop and implement advanced Generative AI solutions (LLMs embeddings retrieval techniques prompt engineering)

Design and optimize Retrieval-Augmented Generation (RAG) solutions

Manage Databricks workflows including job and cluster creation also Databricks API

Apply data structures and algorithms knowledge including multiprocessing and optimization techniques

Utilize Python libraries (Pandas Numpy FastAPI) for data processing and API development

Perform SQL optimization and database architecture design (schema creation normalization functions triggers)

Deploy and orchestrate AI models using Docker and Kubernetes

Collaborate using GitHub for version control and team collaboration

Work with cloud platforms for AI solution deployment and management (Azure GCP AWS)

Utilize PySpark for data processing (optional)

Basic understanding of CI/CD pipelines and deployment process

Non-Tech:

Strong problem-solving skills with an ability to assess the financial impact of decisions both in running the delivery team and delivering solutions to clients

Proficient in written and verbal communication and able to hold conversations with mid-management-level clients

Ability to recognize pragmatic alternatives vis-à-vis a perfect solution and get the delivery teams on board to pursue them balancing time priorities with potential business impact

Strong people skills including conflict resolution empathy communication listening and negotiation

Shows proficiency in providing technical guidance and provide leadership and mentorship to the delivery team

Self-driven with a strong sense of ownership

Good to Have Skills

Familiarity with data visualization tools and techniques

Knowledge of data security and privacy practices

Understanding of data governance and compliance frameworks

Experience with graph databases and graph processing frameworks

Experience with data virtualization and data federation techniques

Proficiency in data profiling and data quality management

Being a Mathemagician

Understand & embody MathCos culture and way of working.

Demonstrate an ownership mindset to drive results striving for excellence.

Engage actively and contribute to initiatives fostering company growth.

Support diversity and understand different perspectives.

As a testament to our growth we have been

Positioned as a Leader in Top Generative AI Service Providers PeMa Quadrant 2023 by AIMResearch

Recognized among the Inspiring Workplaces in North America 2023

Accredited for Inclusive Practices by Great Place to Work Institute India

Recognized among Indias Best Workplaces for Diversity Equity Inclusion & Belonging 2023 by Great Place To Work India

.... among others. To know more visit our website.


Required Experience:

IC