AIML Engineer

Required Qualifications

7 years in software engineering or applied ML building real-world AI / ML systems; strong Python proficiency and backend development expertise.

Hands-on experience building GenAI apps with LangChain and LangGraph including agent design state / memory management and graph-based orchestration.

Proficiency in ML / NLP and generative models; experience with embeddings vector stores RAG and LLM integration / fine-tuning (OpenAI LLaMA Cohere etc.)

Strong coding in Python and experience with frameworks / tools such as FastAPI PyTorch / TensorFlow MLflow; solid understanding of software engineering fundamentals and secure development.

Experience with AI agent frameworks and MCP; familiarity with agent observability (LangSmith / LangFuse) and agentic RAG patterns

Track record of delivering scalable production AI systems and collaborating across teams.

Experience with agent frameworks (AutoGen CrewAI) tool-use ecosystems and advanced planning / reasoning strategies

Knowledge of cloud platforms (AWS) MLOps and data pipelines; familiarity is a plus.

Exposure to enterprise environments and secure compliant deployments

Key Skills

• Programming : Python; backend APIs (FastAPI)
• AI / ML : ML / NLP generative AI embeddings model evaluation
• Frameworks : LangChain LangGraph; plus LlamaIndex PyTorch TensorFlow MLflow
• Architectures : RAG Transformers OCR
• Agents : Design and orchestration memory / state management tool integration; MCP and agent-to-agent protocols
• Observability : LangSmith / LangFuse for agent monitoring

Key Skills

ASP.NET,Health Education,Fashion Designing,Fiber,Investigation

Employment Type : Full Time

Experience : years

Vacancy : 1