We're looking for a passionate AI Engineer to design, develop, and deploy production-grade AI applications powered by Large Language Models. You'll collaborate with a distributed team to build scalable AI solutions that solve real-world business challenges.

Key Responsibilities

- Design and develop AI-powered applications using OpenAI, Anthropic, Gemini, or open-source LLMs.

- Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.

- Develop AI agents and multi-agent workflows using frameworks such as LangGraph, LangChain, CrewAI, or LlamaIndex.

- Integrate AI capabilities into web applications and backend services.

- Engineer prompts, evaluate model performance, and optimize for quality, latency, and cost.

- Deploy scalable AI services using Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).

- Implement monitoring, evaluation, and observability for production AI systems.

- Collaborate with cross-functional teams in a remote environment to deliver AI features from concept to production.





- Stay up to date with the latest advancements in Generative AI and apply them to product development.

Required Skills

- Strong proficiency in Python.

- Experience building applications with LLM APIs.

- Hands-on experience with RAG, embeddings, and vector databases (Pinecone, Weaviate, ChromaDB, FAISS, or Milvus).

- Experience with LangChain, LangGraph, LlamaIndex, or similar AI frameworks.

- Familiarity with FastAPI or Flask for backend development.

- Understanding of prompt engineering, function calling, and agentic workflows.

- Experience with Git, Docker, CI/CD, and cloud deployment.

- Robust analytical and problem-solving skills.

Preferred Qualifications

- Experience with fine-tuning or deploying open-source LLMs.

- Knowledge of MCP (Model Context Protocol), AI workflow orchestration, or LLMOps.

- Familiarity with evaluation frameworks, guardrails, and observability tools.

- Experience building production-grade AI products.

📌 Artificial Intelligence Engineer (India)
🏢 LLM Decode
📍 India