Armeta is developing advanced AI-driven systems that transform how large-scale engineering and construction projects are evaluated and approved. Our technology automates complex, compliance-heavy processes, ensuring accuracy, scalability, and trustworthiness across critical infrastructure initiatives.
We work at the intersection of AI, data, and engineering intelligence, building tools that support decision-making in domains where reliability and compliance are paramount. And we are looking for a Senior Python Developer

Key Responsibilities

• Design, develop, and maintain high-performance, scalable backend services using FastAPI.
• Build and maintain robust APIs to integrate and serve Generative AI and multi-agent systems developed by the AI team.
• Develop and manage data ingestion pipelines for automatically updating data from external open sources.
• Design and optimize database schemas (PostgreSQL) and interface with NoSQL and Vector Databases to support AI functionalities.
• Design and manage a microservice-based architecture, ensuring high availability and fault tolerance.
• Collaborate closely with cross-functional teams (AI, Product) to translate product requirements into precise technical specifications.
• Containerize applications using Docker for deployment.
• Write clean, testable, and maintainable code, and conduct code reviews for other team members.

Qualifications

• 5+ years of experience in backend Python development in production systems.
• Expert proficiency in Python and hands-on experience building high-load services with FastAPI.
• Deep understanding and experience designing microservice-based architectures.
• Excellent knowledge of SQL databases (PostgreSQL), including schema design, query optimization, and ORMs (e.g., SQLAlchemy, SQLModel).
• Experience building APIs to serve and integrate AI/ML models (RAG, search systems).
• Practical experience with Docker and CI/CD processes.
• Experience with asynchronous task queues (e.g., Celery, RabbitMQ/Redis).
• Strong analytical and problem-solving skills, with the ability to thrive in a fast-paced, full-time startup environment.

Preferred Qualifications (Bonus Points)

• Experience with Vector Databases (e.g., Pinecone, Weaviate, Chroma).
• Familiarity with AI agentic frameworks (e.g., LangChain, LangGraph).
• Experience with distributed computing frameworks (e.g., Spark, Ray).
• Experience with object storage systems (e.g., Minio).