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,