AI Engineer

What you will do:

• Design and develop AI-powered features, agents, and copilots.
• Build and maintain RAG pipelines and knowledge retrieval systems.
• Integrate AI models with internal systems, APIs, and business workflows.
• Implement structured outputs, tool usage, and workflow orchestration.
• Optimize AI systems for quality, latency, reliability, and cost.
• Establish testing, evaluation, monitoring, and observability standards for AI applications.

Experience

• 2–5 years of overall software engineering experience.
• 1–2 years of hands-on AI/LLM application development experience.

Required Skills:

• Strong proficiency in JavaScript/TypeScript and Node.js.
• Hands-on experience building applications with LLMs (GPT, Claude, Gemini, Llama, etc.).
• Experience with RAG, embeddings, vector databases, and semantic search.
• Experience with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, or similar.
• Strong understanding of prompt engineering, agent architectures, and tool-calling patterns.
• Familiarity with structured outputs, JSON schemas, and function-calling workflows.
• Experience building REST APIs and integrating AI services into production applications.
• Familiarity with async programming, streaming responses, and event-driven architectures.
• Experience with testing strategies for AI systems, including unit testing, integration testing, and LLM output evaluation.
• Experience with SQL/NoSQL databases and cloud platforms (AWS/GCP/Azure).
• Familiarity with Docker, CI/CD, monitoring, and observability.

Preferred Skills:

• Experience building multi-agent systems and workflow automation.
• Experience with open-source LLMs and model hosting.
• Knowledge of AI evaluation frameworks, guardrails, and observability tools.
• Experience with cost tracking, token optimization, and performance tuning at scale.
• Experience deploying production-grade AI applications serving real users.

**Note: You can also share your CV at [email protected]