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Niche senior GenAI role with strong specialization and remote option, leading to lower applicant density.
Deep GenAI and LLM expertise required, so candidates need specialized ML/AI backgrounds.
Explicit 8+ years plus mandatory LLM, RAG, cloud production, and Python/ML tech stack requirements.
Architect and implement scalable Generative AI and Agentic AI solutions end-to-end, ensuring enterprise-grade reliability and performance on Azure or AWS.
Convert client business use cases into technical designs and lead architectural decisions including extensibility, scalability, security, and adherence to non-functional requirements.
Collaborate with cross-functional teams to develop production-ready Python code with strong testing, maintainability, and API integrations using FastAPI and ORM.
8+ years of total work experience.
Deep understanding of LLM architectures (e.g., GPT, BERT-family) and expert-level prompt engineering skills including RAG implementation.
Proficiency in Python with experience in AI/ML libraries (LangChain, Hugging Face, PyTorch/TensorFlow) and productionizing AI systems on Azure or AWS.
Bachelor’s or master’s degree in Computer Science, IT, or related field.
Experienced in designing and deploying production-grade GenAI solutions on cloud platforms with a proven track record of scaling AI workloads.
Strong architectural capability to define technology, patterns, and frameworks meeting complex functional and non-functional requirements.
Skilled in cross-team collaboration translating business needs into robust AI-driven solutions, with contributions to open-source GenAI projects signaling domain expertise.