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 LLM s, 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