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Strong brand, metro location, mid-senior AI role with broad full-stack skills.
Requires specialized LLM, RAG, and agent skills limiting cross-industry transferability.
Explicit 7–10 years and mandatory AI, LLM, cloud, and full-stack skills required.
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Design, develop, and maintain AI-powered applications leveraging large language models and RAG pipelines.
Develop agentic solutions and orchestrate multi-agent workflows using frameworks like LangChain and AutoGen.
Architect and deploy full stack applications (backend in Python/.NET, frontend in React) on cloud platforms (AWS/Azure), integrating AI capabilities into production environments.
7–10 years of overall software development experience with 1–3 years in AI/ML domain.
Strong full stack development skills: Python and/or .NET backend, React frontend.
Experience with cloud platforms AWS (Bedrock, Lambda, S3) and/or Azure (Azure OpenAI, Azure ML, AKS).
Hands-on experience building RAG pipelines, vector databases, agentic workflows, and REST API development.
Experienced in designing and integrating AI applications using LLMs and advanced agentic orchestration.
Proficient in full stack cloud deployment and collaboration with cross-functional teams for production AI systems.
Comfortable with prompt engineering, evaluation of LLM outputs, and complex multi-agent orchestration frameworks.