AI Engineer

Senior AI Developer (AI & GenAI Solutions) | 10+ Years Experience

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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 of Cloud Tools and technologies that can be integrated with AI solutions.

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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, Fargate).
• LLM & Prompt Engineering: Hands-on experience with LLM interactions, prompt tuning, OpenAI/AWS Bedrock.
• Backend Development: Experience with .NET, C# or Java for writing micro web services.
• Must be experienced in AWS Textract, Comprehend, AWS Q Business, Agentic engines, S3, Lambda, Kendra, DynamoDB, 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 fine-tuning of models, building scalable enterprise level solutions, etc.
• Databases: SQL (PostgreSQL, MySQL) & NoSQL (MongoDB, QDrant), DynamoDB.
• Strong hold in AI, 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+ years in GenAI.