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Job Description
Structured overview of role & requirementsAbout This Role
Lead development and deployment of autonomous AI agents handling complex workflows in sales, messaging, scheduling, and operations.
Design and scale LLM-powered Generative AI systems including Retrieval-Augmented Generation (RAG) infrastructure and advanced prompt engineering strategies.
Drive AI strategy, establish best practices, mentor engineers, and ensure production-grade engineering standards in a distributed environment.
Minimum Requirements
8+ years of experience in Data Science, Machine Learning, Applied AI, or related fields with proven production AI/ML system delivery.
Hands-on expertise with LLM technologies including fine-tuning, prompt engineering, and function-calling agents.
Experience with RAG systems using vector databases like FAISS, Pinecone, or Weaviate, and cloud-native environments (GCP, AWS).
Strong Python programming skills with experience in CI/CD, testing, version control, and production software development.
Ideal Candidate Profile
Experienced technical leader comfortable owning full lifecycle of AI solutions from research to production and iteration.
Deep knowledge of LLMs, agent orchestration frameworks (e.g., LangChain), and large-scale GenAI system architecture.
Strategic influencer capable of translating complex AI technicalities into practical product outcomes while mentoring and collaborating cross-functionally.