Gen AI Engineer

About the Role

We are seeking a highly skilled and innovative Graph Database Expert with deep expertise in Neo4j, AI/ML, and enterprise-level Retrieval-Augmented Generation (RAG) solutions to join our Innovation Program Team. This role focuses on designing and developing cutting-edge Proof-of-Concept (POC) solutions that leverage graph database technologies, Large Language Models (LLMs), and Azure AI services to address complex and experimental business challenges.

The ideal candidate is a problem solver with a passion for rapid prototyping, driving innovation, and delivering value in a fast-paced environment. This role requires both technical expertise and the ability to collaborate effectively with cross-functional teams to conceptualize and deliver impactful solutions.

Key Responsibilities

1. Graph Database Development and Optimization

• Design, implement, and optimize graph database solutions using Neo4j and other graph database technologies.

• Develop and maintain graph-based data models, algorithms, and schemas to solve complex relationship and data connectivity challenges.

• Write and optimize Cypher queries for efficient data retrieval and analysis.

• Leverage graph database capabilities to build knowledge graphs and GraphRAG (Graph-based Retrieval-Augmented Generation) solutions.

2. AI/ML and LLM Integration

• Develop and integrate AI/ML models with graph databases to enhance analytics, recommendations, fraud detection, and knowledge exploration.

• Implement enterprise-grade RAG solutions that combine LLMs (e.g., OpenAI, Azure OpenAI) with graph databases for advanced information retrieval.

• Explore and integrate Azure AI Foundry services and other cloud-based AI tools to support POC development.

• Apply traditional AI/ML techniques alongside LLMs to solve business problems holistically.

3. POC Development and Innovation

• Development of Proof-of-Concept (POC) projects to validate innovative ideas and emerging technologies.

• Rapidly prototype solutions in a fast-paced environment to deliver quick value for business stakeholders.

• Collaborate with stakeholders to define POC objectives, success criteria, and deliverables.

• Stay updated on the latest trends in graph databases, LLMs, and AI/ML technologies to identify opportunities for innovation.

4. System Architecture and Integration

• Design scalable, efficient, and secure system architectures that integrate graph databases with Azure services, APIs, and other enterprise systems keeping in account the reusability in MVPs in future.

• Ensure seamless integration of AI/ML models and graph databases into existing workflows and platforms.

5. Collaboration and Communication

• Work closely with data scientists, engineers, and business stakeholders to understand requirements and deliver impactful solutions.

• Present findings, solutions, and POC outcomes to both technical and non-technical audiences in a clear and compelling manner.

6. Documentation and Best Practices

• Maintain clear and comprehensive documentation of data models, algorithms, and processes.

• Establish and promote best practices for graph database development, AI/ML integration, and innovation projects.

Required Skills and Qualifications

Technical Expertise

• Minimum 4-5 years of hands-on experience with Neo4j, including designing, implementing, and optimizing graph database solutions.
• Proficiency in writing and optimizing Cypher queries.
• Strong understanding of graph theory, graph algorithms, and their applications in AI/ML.
• Experience with enterprise-level RAG and GraphRAG solutions.
• Proficiency in programming languages such as Python, or similar, with a focus on AI/ML and data engineering.
• Familiarity with Azure services (e.g., Azure AI, Azure Cognitive Services, Azure AI Foundry).
• Experience with LLMs (e.g., OpenAI, Azure OpenAI) and their integration into enterprise solutions.
• Knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

Problem-Solving and Innovation

• Proven ability to solve complex problems using graph databases, AI/ML, and innovative approaches.

• Demonstrated experience in developing POCs and rapidly prototyping solutions.

Cloud and Big Data

• Experience with cloud platforms like preferably Azure and their data services.

• Familiarity with big data technologies (e.g., Apache Spark, Hadoop) i…