GenAI Engineer

Job Title: GenAI Developer/ Engineer

About Us

Capco a Wipro company is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe we support 100 clients acrossbanking financial and Energy sectors. We are recognized for our deep transformation execution and delivery.

WHY JOIN CAPCO

You will work on engaging projects with the largest international and local banks insurance companies payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant open culture that values diversity inclusivity and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco everyone has the opportunity to grow as we grow taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore

Experience - 6 to 10

Skills and Qualifications:

Preferred skills:

Programming: Advanced Python (async programming OOP REST APIs FastAPI Flask Pandas NumPy)

GenAI Frameworks: LangChain LlamaIndex Haystack Semantic Kernel

Machine Learning and AI: Snowflake Cortex TensorFlow PyTorch

Key Responsibilities:

• Develop scalable Python applications focused on GenAI
• Knowledge of Snowflake Cortex is a big plus.
• Learn and apply techniques like document chunking and embeddings
• Proficient in both SQL (e.g. PostgreSQL MySQL) and NoSQL (e.g. MongoDB Cassandra) databases including schema design and optimization.
• Design develop and fine-tune applications built around foundation models (e.g. LLMs multimodal models) for specific business needs
• Implement and experiment with generative AI techniques including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
• Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making task execution and interaction with external systems
• Utilize and contribute to agentic AI frameworks (e.g. LangChain AutoGen Semantic Kernel Crew AI) to build robust and scalable AI agents
• Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources tools and real-time information
• Lead the development of full-stack applications that integrate generative AI models and agentic systems ensuring seamless user experiences
• Work with front-end technologies (e.g. React Angular JavaScript TypeScript HTML CSS) and back-end frameworks (e.g. Python with Flask/Django/FastAPI Go)
• Design and implement scalable RESTful APIs and microservices to expose AI functionalities
• Deploy manage and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS Azure or GCP)
• Implement LLMOps/MLOps and DevOps best practices for continuous integration continuous delivery (CI/CD) model deployment monitoring and lifecycle management
• Follow coding best practices and contribute to testing and documentation
• Stay abreast of the latest advancements in generative AI agentic systems foundation models and related fields through continuous research and experimentation
• Collaborate effectively with cross-functional teams including product managers data scientists researchers and other engineers
• Communicate effectively with both technical and non-technical team members ensuring alignment and understanding across all project phases.