We are hiring a Senior Full Stack AI Engineer who can design and build robust AI-powered systems with a focus on agentic flows, orchestration logic, and GPU-efficient infrastructure.
This role demands strong full-stack engineering skills, a deep understanding of modern AI models, and the ability to build scalable backends that support intelligent agents and dynamic workflows.
You will own tasks end-to-end and constantly explore new technologies to optimize performance and flexibility.
This position requires strong experience and a proven track record in both software engineering and AI.
Candidates must have a demonstrated history of working with well-known organizations in this field and be ready to contribute to a groundbreaking initiative with significance.
Requirements:
Strong proficiency in Python and backend programming is required.
Hands-on experience with AI systems, including LLMs, vector databases, and semantic search, is necessary.
Familiarity with agentic AI design patterns and orchestration libraries is essential.
Experience with GPU optimization, model serving (Triton, TorchServe, ONNX), and containerized deployments is required.
The ability to independently research, evaluate, and implement new technologies and ideas is crucial.
Experience with LangGraph, CrewAI, AutoGen, or multi-agent coordination is preferred.
Familiarity with MLOps tools like MLflow, Ray, Weights & Biases, or Prefect is important.
An understanding of real-time inference strategies, batching, and scaling APIs is necessary.
Benefits:
The position offers the opportunity to work on groundbreaking initiatives that have significant impact in the field of AI.
You will collaborate across teams while having the autonomy to work independently and proactively drive initiatives.
The role provides a platform to explore and apply cutting-edge AI frameworks and technologies.
You will be part of a team that is focused on building the future of AI, making it intelligent, scalable, and truly impactful.
