Solutions Engineer (India Startup Program)

Neo4j is the graph intelligence platform that transforms data into knowledge to power intelligent applications and AI systems. The Solutions Engineer will help AI-focused startups in Neo4j’s Startup Program succeed with graph and LLM solutions, providing technical leadership and customer engagement throughout their journey.

Responsibilities:

• Serve as the primary technical point of contact for a portfolio of AI startups in the program
• Guide teams in designing, building, and deploying Neo4j-based architectures
• Advise on best practices for Neo4j usage across Aura and self-managed environments, including scaling, performance, and production readiness
• Troubleshoot implementation challenges and help customers make sound technical tradeoffs
• Help startups design and implement LLM-enabled solutions using Neo4j, including RAG, knowledge graphs, and agent-based architectures
• Translate customer AI requirements into concrete Neo4j-centered architectures, patterns, and implementation guidance
• Work with common AI frameworks and tooling such as LangChain, LlamaIndex, PydanticAI or ADK, agent frameworks, vector search, and open-source and commercial LLMs
• Identify and promote repeatable graph + AI solution patterns across the startup portfolio
• Own the ongoing technical relationship with assigned startups
• Run regular check-ins, track progress, and proactively identify risks or blockers
• Help customers move from early experimentation to successful production adoption
• Partner closely with the Field AI team to align on architectures, patterns, and technical strategy
• Feed real-world startup requirements, usage patterns, and product gaps back to Product and Field teams
• Bridge product gaps where needed through third-party tools, integrations, and pragmatic solution design
• Contribute to internal enablement content, examples, office hours, and best practices for graph + AI patterns
• Share lessons learned from startup engagements with broader Field teams
• Help standardize playbooks, templates, and reference implementations for the Startup Program

Requirements:

• Strong hands-on experience with Neo4j or other graph database, including data modeling, Cypher, clustering/topology, and performance tuning
• Demonstrated ability to debug and optimize real-world implementations, including queries, data ingestion, and infrastructure decisions
• Background in solutions engineering, solution architecture, professional services, customer success, or a similar customer-facing technical role
• Ability to move fluidly between high-level architecture and detailed implementation guidance
• Experience working with multiple stakeholders to align on a practical technical approach
• Awareness of sales processes and expansion motions is a plus
• Experience or strong interest in AI/LLMs and agentic architectures
• Practical exposure to modern AI tooling, including agent frameworks, vector databases, and open-source LLMs
• Familiarity with some of the following: LangChain, LlamaIndex, RAG patterns, PydanticAI, ADK, or similar frameworks. Docling, Unstructured.io, PyMuPDF
• Strong curiosity and aptitude to stay current in the graph + AI landscape
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences
• Comfortable leading customer calls, asking probing questions, and constructively challenging design decisions
• Proven customer-facing experience in a technical role
• Strong technical foundation, ideally from pre-sales engineering, solutions engineering, or professional services
• Proficiency in programming languages such as Python or Java
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Experience with containerization and modern application architectures
• Ability to work independently and collaboratively in a fast-paced environment
• Bachelor's degree in Computer Science, Information Technology, or a related field
• Proven experience as a Solutions Engineer, Sales Engineer, Solutions Architect, or in a similar technical customer-facing role