Description

You will design and develop AI-native applications using LLMs and Generative AI technologies. This role is on-site.

Responsibilities

• Build scalable Retrieval-Augmented Generation (RAG) pipelines using vector databases.
• Integrate AI models through OpenAI, Anthropic, Gemini, or similar APIs.
• Develop RESTful APIs and microservices using FastAPI, Flask, or similar frameworks.
• Implement prompt engineering and AI workflow orchestration using LangChain, LangGraph, or LlamaIndex.
• Deploy AI applications using Docker, Kubernetes, and cloud platforms while optimizing performance and costs.

Required Skills

• 5+ years of software development experience with strong Python, Java, or Node.js skills.
• Hands-on experience with LLMs, Generative AI, and prompt engineering.
• Knowledge of RAG architecture and vector databases (Pinecone, FAISS, Milvus, Weaviate, or Chroma).
• Experience with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks.
• Proficiency in building REST APIs and microservices.
• Familiarity with SQL/NoSQL databases.
• Hands-on experience with Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).

Preferred Skills

• Experience with AI agents, multi-agent systems, and MLOps.
• Familiarity with AI observability, evaluation, and monitoring tools.

Key Skills

Education

Bachelor's degree