Gen AI Engineer

Weekday; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Weekday is seeking an AI/GenAI specialist to transform cutting-edge Generative AI tech into intelligent user experiences. You will design and deploy agentic applications powered by LLMs and RAG pipelines, integrating with responsive frontend interfaces.

You will collaborate with backend and app teams to embed AI capabilities, deploying models via APIs or microservices and optimizing for performance.

Qualifications

• Proficiency with LLMs, prompt engineering, and transformer architectures.
• Experience with RAG architectures and embedding models for intelligent retrieval.
• Proficiency in Python and AI libraries such as LangChain, Transformers, OpenAI SDK, Hugging Face.
• Familiarity with agentic frameworks to design autonomous workflows.

Responsibilities

• Architect and implement Generative AI solutions leveraging LLMs to deliver intelligent, human‑like interactions.
• Develop and optimize RAG pipelines using vector databases to enable efficient knowledge retrieval.
• Build and maintain agentic workflows and conversational AI agents ensuring scalable, adaptive behavior.
• Perform vectorization and fine‑tuning with models to enhance accuracy and contextual relevance.
• Collaborate with backend and app teams to embed Generative AI capabilities into products.

Skills

LLMs

Prompt engineering

Transformer architectures

RAG architectures

Vector search

Embedding models

Python

LangChain

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

Tools

LangChain

Transformers

OpenAI SDK

Hugging Face

Job description

This role is for one of Weekday’s clients

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