Generative AI Developer

5 hours ago


Bengaluru, Karnataka, India Capco Full time

Gen AI developer

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.


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