Senior Full Stack AI Engineer
We’re hiring a Software 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’ll own tasks end-to-end and constantly explore new technologies to optimize performance and flexibility.
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.
- 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
Average salary estimate
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