Tiger Analytics Inc.
Forward Deployed AI Engineer -Neo4j / Knowledge Graph
Remote role where the employee must remain based in a particular country.
United States only
Employer listed it 3 weeks ago · Found 2h ago
Been open since 3 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
United States only
Timezone
US East
Contract
Full-time
Experience
Mid
Category
Software
This employer didn't state pay. Jobs like this usually pay around $140k–$245k a year, a typical range taken from 591 mid-level software roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "United States, Remote"
What Nomaders makes of it
- Residency required in United States
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
Tiger Analytics is seeking a highly experienced Lead AI Engineer to lead the end-to-end AI Engineering workstream for the Luma platform. This is a hands-on technical leadership role responsible for driving the architecture, design, and delivery of enterprise-scale Agentic AI solutions while serving as the primary technical interface for the client.
We are looking for a Forward Deployed AI Engineer to build and deploy enterprise GenAI, RAG, Agentic AI, and Knowledge Graph solutions . The role involves working directly with customers, rapidly developing POCs/MVPs, and taking solutions into production.
Requirements
Build GenAI, RAG, Agentic AI, and AI-powered applications .
Develop Neo4j Knowledge Graph / GraphRAG solutions – must have .
Build data and AI pipelines using Databricks and PySpark .
Develop scalable APIs, microservices, and backend applications using Python or Go .
Rapidly prototype and deliver POCs/MVPs for customer requirements.
Deploy AI solutions across AWS, Azure, or GCP .
Work with LLM frameworks, vector databases, Kubernetes, and cloud-native AI infrastructure.
Troubleshoot and optimize AI applications for performance, scalability, reliability, and cost.
Act as a technical consultant and work closely with enterprise customers.
Must-Have Skills
Neo4j / Knowledge Graph – Mandatory
Generative AI / LLM / RAG / Agentic AI
Databricks / Spark / PySpark
Application Engineering – Python or Go
Rapid Prototyping / POC Development
Cloud: AWS / Azure / GCP
Strong problem-solving and debugging skills
Self-driven, customer-focused, and comfortable working in ambiguous environments
Good to Have
LangChain, LlamaIndex, LangGraph, AutoGen, GraphRAG, Vector DBs, AWS Bedrock, Azure OpenAI, Kubernetes, Docker, Terraform, vLLM/Triton, PyTorch/Hugging Face.
Benefits
Requirements
- ·Build GenAI, RAG, Agentic AI, and AI-powered applications .
- ·Develop Neo4j Knowledge Graph / GraphRAG solutions – must have .
- ·Build data and AI pipelines using Databricks and PySpark .
- ·Develop scalable APIs, microservices, and backend applications using Python or Go .
- ·Rapidly prototype and deliver POCs/MVPs for customer requirements.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Tiger Analytics Inc., mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 3h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open software roles with comparable remote rules.
Free to apply, no account needed.
Typically $140k to $245k per year · You'll be taken to the employer's careers page.