Role Overview
We are looking for an AI/ML Engineer to build AI-powered applications using LLMs and modern AI frameworks. You will develop agentic workflows, tool-calling systems, and autonomous AI solutions while designing RAG pipelines and integrating AI systems with backend services.
Responsibilities
- Build AI-powered applications using LLMs and modern AI frameworks
- Develop agentic workflows, tool-calling systems, and autonomous AI solutions
- Design and implement RAG pipelines and retrieval systems
- Integrate AI systems with backend services and enterprise workflows
- Work on prompt engineering, evaluation, testing, and optimization
- Build APIs and scalable backend services using Python
- Deploy and monitor AI applications in production environments
- Collaborate closely with product, engineering, and business teams
Requirements
- 1–3 years of experience in AI/ML engineering, software engineering, or related fields
- Strong Python programming skills
- Experience building LLM-based applications or AI agents
- Understanding of RAG architectures, Vector databases, embeddings, prompt engineering, and tool/function calling
- Experience building APIs using FastAPI or similar frameworks
- Strong debugging and problem-solving skills
- Ability to learn quickly and work independently
Good to Have
- Experience with Voice AI, STT/TTS systems
- Docker, cloud deployment, and GPU infrastructure
- Open-source contributions or hackathon projects
- AI evaluation and observability experience
- Familiarity with modern AI coding tools such as Cursor, Claude Code, Windsurf, or GitHub Copilot
Skills
- Python
- LLMs
- FastAPI
- RAG
- Vector databases
Benefits
- Paid sick time
- Work from home