AI Developer

Design, plan, and implement AI, Generative AI, and Agentic-AI architectures for customer projects

Develop custom end-to-end GenAI and LLM-based solutions, using frameworks such as LangChain, LangGraph, AutoGen, HuggingFace, and OpenAI APIs

Implement and operate machine learning systems using TensorFlow, PyTorch, and modern LLM/ML tooling

Build and manage cloud-based AI ecosystems on AWS, Azure, or GCP, including architecture design and platform operations

Apply DevOps/MLOps and LLMOps practices, including CI/CD pipelines, containerization (Docker, Kubernetes), and model deployment workflows

Collaborate closely with enterprise architects, engineering teams, and C-level stakeholders to align AI roadmaps and solution strategies

Evaluate and introduce new AI technologies, frameworks, and agentic tools to expand the organization’s (Gen)AI capabilities

Lead the technical execution of proof-of-concepts (PoCs) in an agile environment

• Provide strategic consulting on cloud-native, scalable, and secure AI platform architectures