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Senior AI Engineer
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Data Capital Inc
Remote
Full-Time
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Job Description
Job Summary Seeking a Senior AI Engineer with strong expertise in Generative AI, AWS cloud services, and data platform engineering to build and scale production-grade AI solutions. The role focuses on LLM-powered applications, RAG architectures, vector search, knowledge graphs, data pipelines, and agentic AI systems. The candidate will drive end-to-end AI platform development, deployment, and operational excellence. Roles & Responsibilities
- Design and implement Generative AI solutions using LLMs, RAG, embeddings, and prompt orchestration.
- Build vector search and retrieval systems using OpenSearch and knowledge graph solutions using Neptune.
- Develop agent-based AI workflows using LangGraph, AutoGen, CrewAI, or similar frameworks.
- Design and maintain scalable data pipelines, embedding pipelines, and knowledge management systems using Databricks and Spark.
- Develop secure, scalable backend APIs and microservices to expose AI capabilities.
- Build and manage CI/CD pipelines, containerized deployments, and production AI environments.
- Implement AI observability, model evaluation, monitoring, security, and governance best practices.
- Collaborate with product and engineering teams to deliver enterprise-grade AI solutions. Required Skills
- Generative
AI / LLM
Development (RAG, Embeddings, Prompt Engineering)- AWS Cloud Services (OpenSearch, Neptune, DynamoDB, ElastiCache/Redis)
- Vector Search & Retrieval Systems
- Graph Databases & Knowledge Graphs
- LangChain and LlamaIndex
- Agentic AI Frameworks (LangGraph, AutoGen, CrewAI)
- Databricks & Apache Spark
- Python Development, APIs, and Microservices
- CI/CD, Docker, Kubernetes, and MLOps
- AI Observability, Evaluation, Security, and Governance Experience
- Strong experience building production-grade Generative AI and data platforms.
- Hands-on expertise in LLM applications, retrieval systems, and knowledge engineering.
- Experience with cloud-native architectures and enterprise AI deployments.
- Background in AI/ML Platform Engineering, Data Engineering, or Generative AI solutions. Preferred Qualifications
- AWS Certifications (Solutions Architect, Machine Learning Specialty, or Data Engineer).
- Experience with LLM evaluation frameworks, AI governance, and MCP-style architectures.
- Familiarity with advanced MLOps and agent-based AI architectures. Location & Work Model
- Irvine, CA & Los Angeles, CA