Artificial Intelligence Architect -Bangalore location

Senior AI Engineer GenAI / LL M / Agentic AI Bangalore location

Experience: 10 to 15 Years
Location: Bangalore
Employment Type: Full-Time work from office

Job Overview

We are looking for an experienced Senior AI Engineer to design, develop and deploy enterprise-grade AI solutions using Large Language Models (LLMs), Vision Language Models (VLMs), Retrieval-Augmented Generation (RAG) and Agentic AI workflows.

The ideal candidate should have strong hands-on experience in Python development, AI frameworks, prompt engineering, model integration and cloud-native AI deployment. The role involves building scalable AI services and intelligent automation solutions using structured and unstructured data.

Key Responsibilities

• Design, develop and deploy enterprise-grade AI/ML applications using LLMs and VLMs.
• Build and implement Agentic AI workflows using LangGraph, LangChain, CrewAI, AutoGen or Google ADK.
• Develop RAG pipelines using embeddings, chunking strategies, hybrid retrieval and reranking.
• Work on prompt engineering, function calling, structured outputs and tool calling.
• Develop Python-based backend applications using FastAPI, Flask and REST APIs.
• Implement document understanding and multimodal AI solutions.
• Work with vector databases and semantic search technologies.
• Integrate AI models with enterprise applications and external systems.
• Deploy and optimize AI models using cloud platforms and containerized environments.
• Ensure secure, scalable and production-ready AI solutions.

Pls share below details along with CV richa.s@hdytechnologies.com

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Mandatory Skills

• Strong hands-on experience in Python programming.
• Experience in AI/ML software development.
• Hands-on experience with LLMs such as Llama, Qwen, Mistral or GPT.
• Experience in Agentic AI frameworks such as LangGraph, LangChain, CrewAI, AutoGen or Google ADK.
• Strong understanding of RAG architecture and semantic search.
• Experience with prompt engineering, function calling and tool calling.
• Experience in FastAPI, Flask and REST API development.
• Knowledge of embeddings and vector databases.
• Experience with cloud platforms AWS, Azure or GCP.
• Hands-on experience building enterprise AI applications.

Technical Skills

Programming: Python, SQL

Backend Development: FastAPI, Flask, REST APIs, Async Programming

LLMs: Llama, Qwen, Mistral, GPT

VLMs: Qwen-VL or similar multimodal models

Agentic AI: LangGraph, LangChain, CrewAI, AutoGen, Google ADK

RAG: Chunking, Embeddings, Hybrid Retrieval, Reranking

Vector Databases: Qdrant, Weaviate, Milvus, Pinecone

Machine Learning: Scikit-learn, Feature Engineering, Model Evaluation, Hyperparameter Tuning

Deep Learning: PyTorch, TensorFlow, Hugging Face Transformers

Cloud & Deployment: AWS / Azure / GCP, Docker, Kubernetes, vLLM, Hugging Face TGI

Databases: PostgreSQL, MongoDB, Redis

Version Control: Git, GitHub, GitLab

Good to Have

• Knowledge of GraphRAG and Knowledge Graphs.
• Experience with Neo4j.
• Apache Airflow and Celery.
• MLflow and model monitoring.
• Experience in AI governance, security and responsible AI practices.
• Experience building enterprise chatbots and AI assistants.
• Experience with multimodal AI and document intelligence.

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science or a related field.

Required Experience

• 58 years of experience in AI/ML software development.
• Strong Python and backend API development experience.
• Experience developing enterprise AI applications using LLMs and modern AI frameworks.
• Experience with RAG, semantic search and cloud-native deployments.