Senior Backend AI Engineer

Job Description

K Health is seeking a Senior Backend AI Engineer to join their AI Engineering team. The ideal candidate will have a strong background in Python and a solid understanding of AI systems architecture. This role involves collaborating with data scientists, ML engineers, and product managers to design and deliver backend systems that power AI-driven workflows.

The Senior Backend AI Engineer will be responsible for building and maintaining reliable, scalable backend services to support AI agent execution and orchestration. They will also collaborate with the Data Science and Machine Learning teams to productionize AI features and model-serving pipelines.

Responsibilities:

• Build and maintain reliable, scalable backend services to support AI agent execution and orchestration.
• Collaborate with the Data Science and Machine Learning teams to productionize AI features and model-serving pipelines.
• Design APIs, background workers, and event-driven systems that interface with AI inference engines and agent runtimes.
• Write clean, testable, and well-documented Python code using best practices.
• Take ownership of system design and backend architecture decisions for AI-powered products.
• Work with other engineers to optimize performance, scalability, and fault tolerance of distributed backend systems.
• Participate in code reviews, knowledge sharing, and mentoring to elevate the team’s technical capabilities.
• Support monitoring, observability, and incident response related to backend infrastructure.

Requirements:

• 6+ years of backend engineering experience with a strong focus on Python (FastAPI, Django, or similar frameworks).
• Solid understanding of AI systems architecture and experience working in environments involving AI agents, LLMs, or inference pipelines.
• Proven experience in building and scaling backend APIs, microservices, and background jobs.
• Strong experience with both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Redis) databases, including schema design, query optimization, and data modeling.
• Hands-on experience with message brokers (e.g., PubSub, Redis Streams, RabbitMQ) and distributed systems.

K Health offers:

• Competitive compensation packages based on industry benchmarks.