First Soft Solutions LLC
Website:
firstsoftsolutions.net
Job details:
Principal GenAI Engineer Knowledge Graph & Graph RAG
Location: Bengaluru (Hybrid 3 Days Work from Office)
Employment Type: Full-Time
Experience: 8 14 Years
Job Summary
We are seeking an experienced
Principal GenAI Engineer to lead the design, development, and deployment of enterprise-grade
Generative AI solutions for Fortune 500 clients. The ideal candidate will have deep expertise in
Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Knowledge Graphs, and Graph-RAG architectures, enabling the delivery of scalable, explainable, and production-ready AI applications. This role requires strong technical leadership, hands-on development, and collaboration with cross-functional teams to build next-generation AI solutions.
Key Responsibilities
- Design and implement enterprise-scale Generative AI solutions using Large Language Models (LLMs).
- Architect and develop Graph-RAG systems by combining Knowledge Graphs with vector search for accurate, context-aware AI responses.
- Build intelligent AI agents using LangChain, LangGraph, and modern orchestration frameworks.
- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge discovery.
- Design, implement, and maintain scalable Knowledge Graph architectures, semantic models, ontologies, and taxonomies.
- Implement entity resolution, relationship extraction, graph enrichment, and semantic reasoning.
- Integrate Knowledge Graphs with vector databases to improve AI explainability and reduce hallucinations.
- Deploy and manage AI workloads on AWS, Azure, or Google Cloud Platform (GCP).
- Collaborate with data scientists, software engineers, and business stakeholders to deliver production-ready AI solutions.
- Mentor engineering teams and establish best practices for GenAI development and deployment.
Required Skills - 8 14 years of experience in Software Engineering, Machine Learning, or Artificial Intelligence.
- 2+ years of hands-on experience developing applications using Large Language Models (LLMs).
- Strong expertise in:
- Python
- LangChain
- LangGraph
- SQL
- Experience with:
- Retrieval-Augmented Generation (RAG)
- AI Agents
- Prompt Engineering
- Vector Databases
- Experience deploying AI applications on AWS, Azure, or GCP.
- Strong understanding of enterprise AI architecture, scalability, and performance optimization.
Preferred Qualifications Knowledge Graph Expertise - Experience designing and scaling enterprise Knowledge Graph solutions.
- Strong understanding of:
- Ontologies
- Taxonomies
- Semantic Data Models
- Entity Resolution
- Relationship Extraction
- Graph Enrichment
- Hands-on experience with graph databases such as:
- Neo4j
- Amazon Neptune
- TigerGraph
- Nebula Graph
- Proficiency with graph query languages such as Cypher or equivalent.
- Experience building hybrid retrieval architectures combining Knowledge Graphs and Vector Databases.
- Ability to integrate structured graph reasoning with LLMs to improve explainability and minimize hallucinations.
Nice to Have
- Experience with Azure AI Foundry, Amazon Bedrock, Google Vertex AI, or OpenAI APIs.
- Familiarity with embedding models, reranking techniques, and semantic search.
- Experience with MLOps, Docker, Kubernetes, and CI/CD pipelines.
- Knowledge of Graph Data Science (GDS), Graph Analytics, and Explainable AI (XAI).
Education
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
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