Gen AI Engineer

Weekday AI; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Weekday AI is seeking a skilled AI Engineer to transform Generative AI into intelligent user experiences. You will design and deploy agentic applications powered by LLMs and RAG pipelines, ensuring smooth integration with responsive frontends.

You will work with LLMs like GPT, Claude, and LLaMA, develop robust vector search, and collaborate with backend teams to deliver scalable AI features across products.

Qualifications

• Strong expertise in LLMs, prompt engineering, and transformers.
• Experience with RAG architectures and vector search.
• Proficient in Python and ML libraries.
• Familiar with agentic frameworks.
• Experience deploying AI models via APIs or microservices.

Responsibilities

• Architect and implement Generative AI solutions with LLMs.
• Develop and optimize RAG pipelines with vector databases.
• Build agentic workflows and AI agents.
• Perform vectorization and fine-tuning.
• Collaborate with backend/app teams to embed AI capabilities.

Skills

LLMs

Prompt engineering

RAG architectures

Python

LangChain

Transformers

OpenAI SDK

Hugging Face

Vector search

Embeddings

ML deployment

Education

Bachelor/Master in CS/AI

Tools

ChromaDB

Databricks Mosaic

Job description

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