Artificial Intelligence Engineer

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.
• Strong 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.