Gen AI Engineer

This role is for one of Weekday's clients
Min Experience: 3+ years
Location: Bengaluru, pune
JobType: full-time
In this role, you will transform cutting‑edge Generative AI technologies into seamless, intelligent user experiences. You will design and deploy agentic applications powered by LLMs and Retrieval‑Augmented Generation (RAG) pipelines, while ensuring smooth integration with responsive frontend interfaces.
Requirements
Key Responsibilities
Architect and implement Generative AI solutions leveraging LLMs such as GPT, Claude, and LLaMA to deliver intelligent, human‑like interactions
Develop and optimize RAG pipelines using vector databases (ChromaDB for local development and Data-bricks Mosaic ML Vector Stores) to enable efficient knowledge retrieval
Build and maintain agentic workflows and conversational AI agents using frameworks like LangGraph and OpenAI, ensuring scalable and adaptive behavior
Perform vectorization and fine‑tuning with models such as GTE‑large and BGE to enhance accuracy and contextual relevance
Collaborate with backend and app teams to embed Generative AI capabilities into products, ensuring seamless integration and performance
Required Skills & Experience
Strong expertise in LLMs, prompt engineering, and transformer architectures, applying them to real‑world applications
Hands‑on experience with RAG architectures, vector search, and embedding models to build intelligent retrieval systems
Proficiency in Python and libraries such as LangChain, Transformers, OpenAI SDK, or Hugging Face for rapid prototyping and deployment
Familiarity with agentic frameworks like AutoGen, OpenAI, CrewAI, or LangGraph to design autonomous workflows
Experience in deploying AI models via APIs or microservices, ensuring scalability and reliability
Preferred Skills
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related fields
Practical experience with cloud platforms (AWS, GCP, Azure) to deploy and scale AI solutions
Knowledge of CI/CD pipelines to automate testing, deployment, and monitoring of AI services
Must-have skills
Retrieval Augmented Generation, LLM, Gen Ai
Good-to-have skills
agentic workflows, Python

Work arrangement
No