Forward Deployed AI Engineer
New
T
Tiger AnalyticsArtificial Intelligence
United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- PythonGoDatabricksLLMGenerative AIPySpark
Requirements
- Mandatory: Extensive experience with Neo4j and Knowledge Graph development.
- Strong proficiency in Generative AI, LLMs, RAG, and Agentic AI.
- Experience with Databricks, Spark, and PySpark for data and AI pipelines.
- Backend engineering experience using Python or Go.
- Experience in rapid prototyping and delivering POCs/MVPs.
- Deployment experience on cloud platforms: AWS, Azure, or GCP.
- Familiarity with LLM frameworks, vector databases, Kubernetes, and cloud-native AI infrastructure.
- Strong problem-solving and debugging skills.
- Self-driven and customer-focused approach.
- Ability to work in ambiguous, fast-paced environments.
Responsibilities
- Build and deploy enterprise GenAI, RAG, Agentic AI, and Knowledge Graph solutions.
- Develop Neo4j Knowledge Graph and GraphRAG solutions.
- 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 and MVPs for customer requirements.
- Deploy AI solutions across AWS, Azure, or GCP.
- Act as a technical consultant and work closely with enterprise customers.
- Troubleshoot and optimize AI applications for performance, scalability, reliability, and cost.
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