We’re 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’ll 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.
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 programmingHands-on experience with AI systems : LLMs, vector databases, semantic searchFamiliarity with agentic AI design patterns and orchestration librariesExperience with GPU optimization, model serving (Triton, TorchServe, ONNX), and containerized deploymentsAbility to independently research, evaluate, and implement new technologies and ideasExperience with LangGraph, CrewAI, AutoGen, or multi-agent coordinationFamiliarity with MLOps tools like MLflow, Ray, Weights & Biases, or PrefectUnderstanding of real-time inference strategies, batching, and scaling APIs