AI Engineer - Python full-stack/backend engineering capability
TavantSalary: Not disclosed
Build Python/FastAPI backend services with LLM APIs, RAG, vector search, agents, MCP and cloud-native production infrastructure. ...read more
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Salary: Not disclosed
Build Python/FastAPI backend services with LLM APIs, RAG, vector search, agents, MCP and cloud-native production infrastructure. ...read more
Salary: Not disclosed
Build production SaaS and AI-platform systems across Python/Node backends, APIs, databases, cloud deployment and AI integrations. ...read more
Salary: Not disclosed
Build production AI systems including multi-agent workflows, RAG, fine-tuning, embeddings, inference optimization and scalable backend services. ...read more
Salary: Not disclosed
Build secure enterprise AI workflows spanning agents, retrieval, integrations, automation, evaluation and document pipelines. ...read more
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Design and implement AI graph-compiler optimizations, IR generation, model execution improvements and hardware-aware acceleration. ...read more
Salary: Not disclosed
Build AI agents for documentation automation using LLMs, RAG, vector databases, LangChain/LangGraph and workflow automation. ...read more
Salary: Not disclosed
Research, design and develop computer-vision and machine-learning models with Generative AI prompt-engineering capabilities. ...read more
Salary: Not disclosed
Build enterprise ML and GenAI systems covering anomaly detection, recommendations, RAG, vector databases, agents, MLOps and real-time inference. ...read more
Salary: Not disclosed
Design and deploy ML/deep-learning solutions, build data pipelines, train/evaluate models and productionize AI systems. ...read more
Salary: Not disclosed
Optimize AI graph compilers for model execution, latency and hardware utilization using MLIR, Torch-FX, C++ and Python. ...read more