We are seeking a Senior Backend Engineer with deep backend engineering expertise and proficiency in one or more major programming languages (e.g., Python, Java, Go, Rust, or Kotlin), along with a strong understanding of AI models and agents. As a core member of our AI Engineering team, you will collaborate with data scientists, ML engineers, and product managers to build scalable, production-ready infrastructure and APIs that power intelligent systems.
What you'll be doing:
As a Senior Backend Engineer in the AI Engineering team, you will:
Build and maintain reliable, scalable backend services to support AI agent execution and orchestration.
Develop AI agent systems for complex operational workflows using LangChain, LangGraph, LiteLLM, and Langfuse.
Orchestrate a hybrid model stack that includes OpenAI and Google Gemini alongside self-hosted and fine-tuned LLMs like Gemma and Llama.
Build and maintain integrations with clinical systems (FHIR, EMR).
Drive observability and reliability using OpenTelemetry, Datadog, and Langfuse.
Design APIs (GraphQL, REST), background workers, and event-driven systems that interface with AI inference engines and agent runtimes.
Collaborate with Data Science, ML, and engineering teams to deploy AI features and improve the performance, scalability, and reliability of backend systems.
Participate in code reviews, knowledge sharing, and mentoring to elevate the teams technical capabilities.
Requirements: What we're looking for:
6+ years of backend engineering experience, with strong proficiency in more than one major programming language (such as Python, Java, Go, Rust, or Kotlin).
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 relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Redis), including schema design, data modeling, and query optimization.
Experience with message brokers and distributed systems (e.g., Pub/Sub, Redis Streams, RabbitMQ).
Highly adaptable, a strong team player, with the ability to quickly learn and apply new technologies.
Advantages:
Strong proficiency in Python and/or Node.js/NestJS.
Experience with clinical systems and healthcare data standards (FHIR, EMR/EHR).
Hands-on experience with AI agent frameworks such as LangChain, LangGraph, or LiteLLM.
Experience orchestrating hybrid model stacks combining commercial APIs (OpenAI, Google Gemini) with self-hosted or fine-tuned LLMs.
Familiarity with observability tools for AI systems (Langfuse, OpenTelemetry).
This position is open to all candidates.