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Reveille Technologies - Generative AI/Agentic AI Engineer

Reveille Technologies
8 - 14 Years
Pune

Posted on: 18/05/2026

Job Description

Description :


We are hiring GenAI / Agentic AI Engineers who can design and build intelligent systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and autonomous AI agents. This role involves working across backend/full-stack systems and AI pipelines, enabling scalable and production-grade AI applications.

Core Skills :


- Strong programming in Python (primary language)

- Hands-on experience with LLMs (OpenAI, open-source models, etc.)

- Expertise in RAG (Retrieval-Augmented Generation) frameworks

- Experience building Agentic AI systems / autonomous workflows

- Understanding of GenAI architectures and use cases

- Experience with Vector Databases (Pinecone, FAISS, Weaviate, etc.)

- API integration and orchestration of AI services

- Full Stack Development (React, Node.js, or similar)

- Programming knowledge in Java (good to have)

- Experience with AI dev tools like Cursor, Replit, LangChain, LlamaIndex

- Exposure to prompt engineering and fine-tuning techniques

- Knowledge of cloud platforms (AWS / Azure / GCP)

- Experience in building chatbots, copilots, or AI assistants

Roles & Responsibilities :


- Design and develop GenAI-powered applications using LLMs and RAG pipelines

- Build and deploy Agentic AI systems capable of multi-step reasoning and task automation

- Develop scalable backend services and APIs for AI integrations

- Implement and optimize vector search and embedding pipelines

- Work on prompt engineering, context management, and response optimization

- Integrate LLMs with enterprise data sources using RAG frameworks

- Collaborate with product and engineering teams to deliver end-to-end AI solutions

- Ensure performance, scalability, and reliability of AI systems

- Evaluate and experiment with latest GenAI tools, frameworks, and models

- Maintain code quality, documentation, and best practices

- Experience in building production-grade AI applications

- Strong problem-solving mindset with hands-on coding ability

- Ability to work in fast-paced, innovation-driven environments

- Understanding of AI limitations, hallucinations, and evaluation metrics

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