*Job Description: Senior AI Engineer (GenAI + Data Platform – AWS)*
Location: CA, Irvine(Onsite)
Role Summary
We are seeking a Senior AI Engineer to design, build, and scale a production-grade Generative AI and Data Platform on AWS. The role focuses on enabling LLM-powered capabilities through vector search, graph-based knowledge systems, and governed data pipelines.
The ideal candidate will own end-to-end delivery across the AI lifecycle, including:
Data ingestion and knowledge curation
Embeddings and retrieval systems
Backend services and APIs
CI/CD pipelines and deployment
This role will closely partner with product and engineering teams to operationalize AI capabilities in externally facing applications and drive evolution toward agentic AI systems.
Required Skills
Strong experience in Generative AI / LLM systems (RAG, embeddings, prompt engineering)
Hands-on experience with AWS ecosystem
Expertise in:
OpenSearch (vector search)
Neptune (graph databases)
DynamoDB and Redis (ElastiCache)
Experience with:
LangChain / LlamaIndex
Agentic AI frameworks (LangGraph, AutoGen, CrewAI)
Strong programming skills (Python preferred)
Experience with Databricks and Apache Spark
Solid understanding of:
Data pipelines
Distributed systems
API design
Preferred Skills
Experience with:
Model evaluation frameworks and LLM observability tools
AI governance and compliance frameworks
Kubernetes and advanced MLOps practices
Familiarity with:
Model Context Protocol (MCP) patterns
Agent-based architectures
Qualifications
Bachelor’s or Master’s degree in:
Computer Science / Data Science / AI / related field
Proven experience building production-grade AI platforms and systems
Strong background in end-to-end AI/ML lifecycle delivery
Soft Skills
Strong problem-solving and analytical thinking
Ability to communicate complex AI concepts clearly
Collaborative and cross-functional mindset
Ownership-driven and proactive execution
Mandatory Areas
Must Have Skills
• Skill 1 – Generative AI / LLM (RAG, embeddings, prompt engineering)
• Skill 2 – AWS Cloud (OpenSearch, Neptune, DynamoDB, ElastiCache/Redis)
• Skill 3 – Vector Search & Retrieval Systems (OpenSearch / vector DB)
• Skill 4 – Graph Databases (Amazon Neptune, knowledge graphs)
• Skill 5 – LLM Frameworks (LangChain / LlamaIndex)
• Skill 6 – Agentic AI Frameworks (LangGraph / AutoGen / CrewAI)
• Skill 7 – Databricks & Apache Spark (data pipelines, embedding pipelines)
• Skill 8 – Backend/API Development (Python, scalable APIs, microservices)
Domain Experience (If any) –
• AI/ML Platform Engineering
• Generative AI / LLM Applications
• Data Platform / Big Data Engineering
Must Have Certifications –
• AWS Certification (Preferred):
• AWS Certified Solutions Architect OR
• AWS Certified Machine Learning Specialty OR
• AWS Data Engineer Certification
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