AI Engineer

Job Title: Senior AI Developer (AI & GenAI Solutions) | 10+ Years Experience 
Job Description: 
We are looking for a Senior AI/ML and GenAI Developers with over 10 years of experience 
to work on AI-powered and Generative AI (GenAI) solutions. The ideal candidate should 
be highly skilled in Python, frameworks like LangChain, LangGraph, Langflow, agentic 
workflows and have experience with AWS Bedrock services, Vertex AI, Azure AI Foundry. 
Additionally, deep knowledge of Agent Core, n8n, MCP, BMAD, A2UIs protocol is 
important for this role. The person should have expertise to build hyper scalers, high 
performant solutions with good understanding Cloud Tools and technologies that can be 
integrated with AI solutions. 
Key Responsibilities: 
 Develop and optimize AI-powered enterprise level agentic applications using 
LangChain, LangGraph, n8n, MCP, Vertex AI, Deep Agents, A2UI, BMAD and 
FastAPI, AWS Bedrock, Vertex, Azure AI foundry. 
 Generative AI, LLM, Deep Learning, Computer Vision, NLP, Transformers, RAG, 
Fine Tuning, Reinforcement Learning, Scikit-Learn, XGBoost, LightGBM 
 Work experience on Tools: PyTorch, TensorFlow, Keras, NLTK, LangChain, 
Langgraph, Langfuse, Crew AI, MCP, A2A, Hugging Face, OpenCV, YOLO, 
LlamaIndex, OpenSearch, Elasticsearch, Chromadb, FAISS, Pinecone, BERT, 
GPT, Diffusion Models, FFmpeg, Whisper, Knowledge graph, Neo4j 
 Cloud, DevOps, Infrastructure: AWS (Bedrock, EC2, S3, Route53, Lambda, 
Sagemaker, DynamoDB, ECS, Fargat 
 LLM & Prompt Engineering: Hands-on experience with LLM interactions, prompt 
tuning, OpenAI/AWS Bedrock. 
 Backend Development: Experience with .net, C# or Java for writing the micro 
web services 
 Must be experienced in AWS Textract, Comprehend, AWS Q Business, Agentic 
engines, S3, Lambda, Kendra, DynamosDB, MongoDB 
 Hands on experience on any of Snowflake, Databricks, Kafka for event-driven 
architecture, GraphQL tools 
 Exposure to technologies like Computer Vision, different Agentic engines, the 
finetuning of the models, building scalable enterprise level solutions etc. 
 Databases: SQL (PostgreSQL, MySQL) & NoSQL (MongoDB, QDrant), Dynmaos 
DB, 
 Strong hold in on AL, ML and statistics 
 Good understanding of MLOps, DevOps processes. 
 Strong Communication skills, able to navigate discussions. 
 BTech/master’s in computer science and have at least 10 years’ experience in 
Python, Ai, ML and at least 3+ in GenAI