Developer (IC)

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,

Work arrangement
No