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Senior specialized LLM role at a known employer in a metro yields moderate applicant competition.
Strong LLM, RAG, and vector-database specialization creates high domain bias and limited cross-industry transferability.
Explicit 8+ years plus mandatory LLM, backend, vector DB, cloud, and containerization skills make filters highly strict.
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Design, develop, and deploy production-grade AI agents and multi-agent systems using modern Large Language Model (LLM) frameworks.
Build and optimize Retrieval-Augmented Generation (RAG) solutions and develop scalable backend services and REST APIs using Python frameworks.
Deploy and optimize AI applications on cloud platforms (AWS, Azure, GCP) using containerization (Docker, Kubernetes) and establish observability and evaluation pipelines for AI performance.
Bachelor's or master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
8+ years of overall software engineering experience.
Minimum 3 years hands-on experience building AI/Generative AI applications using LLMs and minimum 3 years developing scalable backend software and distributed systems.
Proficiency in Java and Python, experience with AI orchestration frameworks (e.g., LangChain), RAG systems, vector databases, cloud deployment, container orchestration, and relevant monitoring tools.
Experienced in building and deploying enterprise-scale AI solutions involving multi-agent systems and RAG with a focus on scalability, latency, and cost optimization.
Skilled at integrating LLMs with enterprise systems and managing complex AI workflows including planning, reasoning, memory, and tool calling.
Capable of mentoring others and driving AI engineering best practices, with strong cross-functional collaboration and architectural design expertise.