Artificial Intelligence Engineer

Job Summary

Location - Pan India

Exp - 6 year

We are seeking a skilled Gen AI & Agentic AI Developer to design, develop, and deploy intelligent AI-driven solutions. The ideal candidate will have strong expertise in Generative AI, LLM frameworks, cloud platforms, and agentic workflows, with hands-on experience in building scalable and production-ready AI systems.

Required Technical Skills

Generative AI & LLM Frameworks

• Vector Databases: AWS OpenSearch, Kendra, FAISS, Pinecone
• Embeddings: Word2Vec, BERT, Sentence Transformers

Frameworks & Toolkits

• AWS Bedrock
• LangChain, LangGraph, LlamaIndex

Cloud Platforms

• AWS (Preferred)
• Azure

Agentic AI & Automation

• AWS Bedrock Agents
• LangGraph
• AutoGen, CrewAI

Programming & ML Skills

• Languages: Python (Mandatory), SQL (Postgres)
• Databases: DynamoDB, MongoDB, Neo4j, Neptune
• Libraries: NumPy, Pandas, Boto3, Plotly, Matplotlib, Seaborn, ggplot
• Requests, BeautifulSoup, NLTK
• Scikit-learn

Machine Learning & Deep Learning

• Supervised, Unsupervised, and Ensemble learning
• Frameworks: TensorFlow, PyTorch

Web Development

• Django, Flask, FastAPI

Conversational AI

• LLM-based chatbot development
• Traditional NLP pipelines
• UI Tools: Streamlit, Gradio

Key Responsibilities

• Design, develop, and fine-tune AI models using:
• Prompt engineering
• Model fine-tuning
• Retrieval-Augmented Generation (RAG)
• Build and optimize LLM workflows using LangChain, LangGraph, and LlamaIndex
• Develop and orchestrate intelligent agents and agentic AI systems
• Integrate vector databases and embedding models for semantic search
• Develop, test, and deploy AI-powered chatbots and applications
• Apply ML/DL models for classification, regression, and segmentation tasks
• Integrate AI solutions with APIs and enterprise platforms
• Collaborate with cross-functional teams to deliver production-grade solutions

Pre-Screening Questions

• Total years of experience
• Experience working as a Gen AI Developer