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Remote role with niche agentic AI skills and mid-senior experience yields moderate candidate competition.
Specialized agentic AI and LLM expertise is domain-specific yet reasonably transferable across industries.
Explicit 6+ years plus mandatory generative AI, LangChain, LLM, cloud and MLOps requirements enforce strict filtering.
Lead architecture and development of scalable Generative and Agentic AI applications from prototype to production deployment.
Design and manage end-to-end ML/Generative AI pipelines including training, deployment, monitoring, and lifecycle management.
Partner with customers and internal teams to translate business needs into robust AI architectures; mentor engineers and influence long-term AI platform strategy.
6+ years of ML experience, including 2+ years hands-on with Generative AI and Agentic AI systems.
Proficient in Python and experienced with LangChain/LangGraph or similar frameworks.
Expertise with LLMs (e.g. GPT, OpenAI, Llama), prompt engineering, and integrating AI via APIs and microservices in cloud environments (AWS/Azure/GCP).
Bachelor's or Master's in CS, Data Science, Engineering, Math, Statistics, or related field. Remote work location in India.
Experienced in designing distributed, cloud-native machine learning systems with strong MLOps/LLMOps skills.
Capable of translating complex AI concepts to non-technical stakeholders in customer-facing roles.
Has prior experience in enterprise AI product delivery, preferably with solution architecture or consulting exposure in regulated domains (financial services, healthcare, insurance).