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Weekday AI

Gen AI Engineer

Weekday AI

Location
Onsite (Bengaluru, Karnataka)
Employment
Full-time
Level
Mid Level
Posted 4 days ago

About the Role

Weekday AI is recruiting for a client seeking a Gen AI Engineer to architect and implement intelligent user experiences using LLMs and RAG pipelines. The role involves designing agentic workflows and integrating AI capabilities into scalable products.

Skills

Generative AI LLM RAG Python LangChain Vector Databases ChromaDB LangGraph OpenAI Prompt Engineering Transformer Architectures Agentic Workflows Fine-tuning Data-bricks Mosaic ML Microservices CI/CD

Full job details

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.

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