Artificial Intelligence Engineer

Key Responsibilities

• Design, build, and maintain

  LLM-powered applications

  , including chatbots, autonomous agents, and decision-support tools.
• Develop and optimize

  RAG pipelines

  using vector databases, embeddings, metadata filtering, and document preprocessing.
• Implement workflow orchestration using

  LangGraph

  , including event-driven agents, state management, and multi-step AI reasoning.
• Build AI solutions using

  LangChain

  components such as chains, tools, agents, memory, and custom integrations.
• Develop

  Agentic AI systems

  capable of multi-step task execution, planning, and reasoning.
• Write clean, scalable

  Python

  code for model serving, data processing, and API integrations.
• Fine-tune models, evaluate LLM outputs, and ensure reliability, grounding, and safety.
• Integrate AI systems with existing backend services, cloud platforms, and product architectures.
• Collaborate with ML engineers, data engineers, and product teams to deliver production-quality solutions.
• Monitor, evaluate, and optimize model performance, latency, and retrieval quality.