Job Description:

Role Overview

We are seeking a Generative AI Engineer with 3–5 years of experience to design, develop, and deploy cutting-edge AI solutions powered by Large Language Models (LLMs) and multimodal systems.

The ideal candidate will build scalable GenAI applications such as copilots, chatbots, and intelligent automation systems, leveraging up-to-date frameworks and enterprise data.

GenAI Engineers typically focus on building LLM-powered applications, RAG pipelines, and AI agents, ensuring scalability, reliability, and real-world usability.

Key Responsibilities
Design, develop, and deploy LLM-powered applications (chatbots, copilots, document intelligence systems)
Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge use cases
Develop AI agents and autonomous workflows using up-to-date frameworks
Perform prompt engineering and evaluation to improve output quality
Integrate GenAI models with enterprise systems, APIs, and data sources
Fine-tune or adapt foundation models (e.g., GPT, LLaMA, multimodal models, SLM's)




Build scalable pipelines covering data ingestion, embeddings, retrieval, and generation
Implement LLMOps practices (monitoring, evaluation, versioning, cost optimization)
Ensure security, governance, and responsible AI practices
Collaborate with product, data, and platform teams to deliver business solutions

These responsibilities reflect real-world roles involving RAG pipelines, agent workflows, and production-grade GenAI systems.

Required Skills & Qualifications

Education
Bachelor’s or master’s degree in computer science, AI, Data Science, or related field

Experience
3–5 years of experience in software/ML engineering
At least 1–2 years of hands-on experience in Generative AI / LLM-based systems

Technical Skills
Robust programming skills in Python
Experience with LLMs and GenAI frameworks (OpenAI, Hugging Face, Anthropic, Google etc.)
Hands-on experience with:
Prompt engin

📌 Generative Ai Engineer Bengaluru
🏢 Mancraft Consulting
📍 Bengaluru