Job Responsibilities
- 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 infrastructure 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 workplace
- 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

Required Skills (Must have)
Tech:
- Experience of 4.5-7 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

📌 Senior AI Engineer (Bengaluru)
🏢 MathCo India
📍 Bengaluru