Experience : 3- 6 Years

Location : Remote

Notice Period : Immediate - 30 Days Preferred

Role Overview :

We are looking for a Generative AI / LLM Engineer who has hands-on experience building AI-powered products, conversational agents, and intelligent assistants using Large Language Models. The ideal candidate should have experience designing AI agent architectures, memory systems, retrieval-based pipelines, and prompt orchestration frameworks.

This role requires someone who has built real-world AI applications such as chatbots, intelligent assistants, AI dashboards, or automation systems using LLMs and vector databases.

Key Responsibilities :

- Design and develop AI-powered chatbots and conversational agents using LLMs.

- Build memory architectures for AI systems to retain user context, preferences, and conversation history.

- Develop Retrieval Augmented Generation (RAG) pipelines using vector databases and embedding models.

- Implement AI agent frameworks to orchestrate prompt chains, memory layers, and decision-making workflows.

- Design intelligent systems that can analyze user inputs, reference past interactions, and automate multi-step tasks.

- Build evaluation frameworks for AI models to measure performance, accuracy, and response quality.

- Develop AI assistants for content generation, automation, or data analysis.

- Work with prompt engineering and model optimization to improve response quality.

- Develop backend services and APIs for AI applications using Python-based frameworks.

- Build AI-driven dashboards and tools that allow natural language querying and automated reporting.

- Work closely with product and engineering teams to build scalable AI-powered products.

Required Skills :

- Strong programming experience in Python

- Hands-on experience with Large Language Models (LLMs)

- Experience building AI Chatbots / Conversational AI

- Strong experience with RAG (Retrieval Augmented Generation)

- Experience with Vector Databases and Embeddings

- Experience designing AI Agent architectures

- Strong knowledge of Prompt Engineering

- Experience building AI APIs or backend services

- Familiarity with Cloud platforms (GCP preferred)

Good to Have :

- Experience with Computer Vision / OCR

- Experience with Diffusion Models or GANs

- Experience building LLM-based dashboards or reporting tools

- Experience working with AI agent frameworks or orchestration tools

Ideal Candidate Profile :

- Experience working on Generative AI products or prototypes

- Hands-on experience with LLM-based assistants or chatbots

- Strong understanding of AI system design, memory layers, and retrieval pipelines

- Ability to convert AI research concepts into production-ready applications