Solutions Engineer | India Startup Program

One of only two genuinely remote India roles in today's edition, and remote is the request readers make most often here, usually because relocation is not financially realistic. Neo4j is the graph database company, and this role supports AI startups in its India startup programme from early experimentation through to production. The work blends solution architecture, technical advisory and ongoing customer engagement: you are the primary technical contact for a portfolio of startups, guiding them through designing and deploying graph based architectures. The tooling named is current, covering LangChain, LlamaIndex, PydanticAI, agent frameworks, vector search and both open source and commercial language models. The posting publishes no years figure, so we recorded it blank rather than guess.

Neo4j publishes no experience figure anywhere in this posting, so we have left the field blank rather than invent one, which means it appears in no experience band on the page. Ask for the expected range early. Location is listed as Remote India, and we could find no state restriction, office attendance clause or hybrid requirement anywhere in the body text. We check remote claims by reading the posting body rather than trusting the location tag, because tags are wrong often, and this one holds up. Responsibilities as published: serve as the primary technical point of contact for a portfolio of AI startups in the programme; guide teams in designing, building and deploying Neo4j based architectures; translate requirements into concrete graph centred architectures, patterns and implementation guidance; work with common AI frameworks and tooling including LangChain, LlamaIndex, PydanticAI or ADK, agent frameworks, vector search, and open source and commercial large language models; identify and promote repeatable graph and AI solution patterns across the portfolio; own the ongoing technical relationship with assigned startups, running regular check ins, tracking progress and proactively surfacing risks or blockers; help customers move from early experimentation to production adoption; and partner cross functionally inside Neo4j. Why this one is worth attention beyond the remote element: graph plus retrieval augmented generation is a genuinely current technical area, since knowledge graphs are one of the more credible answers to grounding language model output, and working across a portfolio of startups means unusually broad exposure in a short time. Fit guidance: this is a customer facing technical role, not a software engineering job, and we group it accordingly. But it is advisory and architectural rather than quota driven, and nothing in the posting mentions sales targets, which distinguishes it from some other solutions roles in today's list.