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Senior, niche LLM/RAG/vector DB specialization reduces applicant density despite metro location.
LLM, RAG and vector DB expertise is transferable but requires strong ML-specific experience.
Explicit 8-10 years and mandatory LLM/RAG/vector-database skills create stringent screening filters.
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Develop and enhance AI-powered security features within the company’s REVEAL platform by building Retrieval-Augmented Generation (RAG) pipelines and integrating vector databases.
Design and implement multi-agent AI systems, autonomous workflows, and production-grade LLM-powered features such as chatbots and copilots, optimizing for latency and throughput.
Collaborate within SCRUM teams and across product, data, and backend engineering to translate business requirements into scalable AI system designs and ensure responsible AI practices including compliance with data privacy regulations.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline.
Minimum 3+ years experience in AI-related application development; overall 8-10 years in enterprise application development.
Proficiency in Python (Java as a plus), SQL, API development, and backend frameworks (FastAPI or Flask).
Hands-on experience with RAG & vector databases (e.g., Pinecone, Weaviate, Qdrant, Elasticsearch/OpenSearch) and working knowledge of AI frameworks such as LangChain, LlamaIndex, CrewAI.
Experienced in building and deploying AI/ML solutions in production especially involving LLMs and retrieval-augmented architectures.
Able to drive technical architecture decisions backed by strong evidence and deliver scalable, secure AI features compliant with data privacy and responsible AI standards.
Comfortable working in agile/SCRUM settings, collaborating cross-functionally with product and engineering teams, and rapidly prototyping AI innovations.