Design, build, and maintain real-time AI-powered APIs and services in Python.
Architect, optimize, and deploy LLM workflows leveraging LangGraph or similar orchestration frameworks.
Develop agentic logic and reasoning pipelines for conversational and task-based automation.
Build scalable infrastructure to support multi-model, low-latency, and streaming AI experiences.
Collaborate with backend and product teams to translate complex customer workflows into reliable AI systems.
Ensure high performance, reliability, and data security across production workloads.
Deploy and manage applications on modern cloud environments (AWS / GCP).
Implement monitoring, logging, and fault-tolerance mechanisms for production-grade AI systems.
Contribute to architectural and product decisions, balancing innovation, safety, and scalability.

BSc or higher in Computer Science, Engineering, or a related technical field.
5+ years of experience in backend or ML engineering, building AI/LLM-based systems in production.
Deep experience with Python (async, multiprocessing, decorators, type hints, debugging).
Proven hands-on work with LLMs, including streaming inference, prompt management, or multi-agent systems.
Familiarity with LangGraph, LangChain, or similar orchestration frameworks.
Strong understanding of MLOps, microservices, and distributed architectures.
Solid grasp of SQL/NoSQL databases, message queues, and scalable data design.
Experience deploying applications to AWS, GCP, or similar cloud platforms.
Ownership mindset
comfortable operating across the stack and figuring things out fast.
Excited to work in a fast-paced startup environment where priorities shift quickly and impact is immediate.

Senior Artificial Intelligence Engineer

Key skills