We're hunting for a Senior Full Stack AI Engineer who can architect mind-blowing AI systems focused on agentic flows, orchestration logic, and GPU-efficient infrastructure. This isn't just another coding job — we need someone who can build scalable backends that power intelligent agents and dynamic workflows. You'll own projects from inception to deployment, constantly pushing the boundaries of what's possible with emerging tech.
This role demands serious chops: we're looking for a proven technologist with deep experience in both software engineering and AI, someone who's worked with top-tier organizations and is ready to contribute to a truly transformative initiative.
Key Responsibilities:
- Design and implement AI-powered systems with dynamic agentic flows and orchestration logic
- Build robust APIs that wrap LLMs, embeddings, and vector search for real-world use cases
- Develop efficient backend infrastructure to support GPU-based inference at scale
- Own tasks from idea to deployment including prototyping, testing, and performance tuning
- Explore and apply cutting-edge AI frameworks (LangGraph, CrewAI, etc.)
- Collaborate across teams while working independently and proactively driving initiatives
We're looking for the best minds to build the future of AI intelligent, scalable, and truly impactful.
Requirements
- Strong proficiency in Python and backend programming
- Hands-on experience with AI systems: LLMs, vector databases, semantic search
- Familiarity with agentic AI design patterns and orchestration libraries
- Experience with GPU optimization, model serving (Triton, TorchServe, ONNX), and containerized deployments
- Ability to independently research, evaluate, and implement new technologies and ideas
- Experience with LangGraph, CrewAI, AutoGen, or multi-agent coordination
- Familiarity with MLOps tools like MLflow, Ray, Weights & Biases, or Prefect
- Understanding of real-time inference strategies, batching, and scaling APIs



