Unknown Company

Senior AI Engineer

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irvine, ca • Posted 5 days ago
Onsite Contract IT & Technology

Flex Employee Services seeks a Senior AI Engineer to architect, build, and operate a production-grade Generative AI and Data Platform on AWS, emphasizing LLM-powered capabilities, vector search, and graph-based knowledge systems, all within governed data pipelines. This onsite role in Irvine, CA offers the opportunity to shape scalable AI infrastructure across teams, with a compensation range of $47-$51 per hour and a requirement of five years of experience along with a Bachelor’s or Master’s degree.

Responsibilities

  • Operationalize LLM-enabled applications using retrieval augmented generation, embeddings, prompt orchestration, and evaluation pipelines.
  • Design and implement vector search solutions with Amazon OpenSearch.
  • Develop graph-based knowledge systems using Amazon Neptune.
  • Integrate Redis via ElastiCache and DynamoDB to support AI applications.
  • Build agentic workflows leveraging LangGraph, AutoGen, CrewAI, or equivalent frameworks.
  • Incorporate LangChain or LlamaIndex for retrieval orchestration, tool invocation, and context management.
  • Define standards for tool integration and context-sharing using MCP-style designs.
  • Evaluate LLM models and retrieval strategies based on latency, accuracy, cost, and context limits.
  • Design and scale data pipelines with Databricks and Apache Spark.
  • Develop data ingestion, transformation, document processing, embedding generation, and indexing pipelines.
  • Ensure data quality through validation, completeness, consistency, and monitoring.
  • Implement data governance, access controls, retention policies, auditability, and lineage tracking.
  • Develop secure and scalable backend services and APIs.
  • Define API standards, versioning, reliability, retry logic, circuit breakers, and idempotency practices.
  • Build reusable platform capabilities for multiple teams and applications.
  • Develop and manage CI/CD pipelines.
  • Deploy production systems using Docker and Kubernetes.
  • Implement blue/green deployments, canary releases, rollback strategies, and feature flags.
  • Monitor platform reliability, observability, security, data freshness, and cost optimization.
  • Define GenAI quality metrics covering grounding, retrieval relevance, response consistency, latency, and cost.
  • Implement prompt and version tracking, evaluation pipelines, and continuous improvement workflows.
  • Ensure AI security through access controls, authentication, data protection, responsible AI guardrails, privacy, and auditability.

Requirements

  • Generative AI / LLM capabilities including RAG, embeddings, and prompt engineering.
  • AWS Cloud expertise with OpenSearch, Neptune, DynamoDB, and ElastiCache/Redis.
  • Vector search and retrieval systems experience (OpenSearch or Vector DB).
  • Graph databases and knowledge graphs (Amazon Neptune).
  • LLM frameworks such as LangChain and LlamaIndex.
  • Agentic AI frameworks like LangGraph, AutoGen, or CrewAI.
  • Databricks and Apache Spark for data and embedding pipelines.
  • Backend/API development in Python with scalable APIs and microservices.
  • Proven experience delivering production-grade Generative AI solutions.
  • Strong Python programming skills and experience with distributed systems, API design, and scalable backend development.
  • Experience building end-to-end AI/ML platforms.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field.
  • Demonstrated track record of delivering production AI platforms and systems.
  • Solid background in end-to-end AI/ML lifecycle delivery.

Technologies

  • LangChain, LlamaIndex, LangGraph, AutoGen, CrewAI
  • OpenSearch, Amazon Neptune, DynamoDB, ElastiCache (Redis)
  • Databricks, Apache Spark
  • Python
  • Docker, Kubernetes

Benefits

  • Dental insurance
  • Health insurance
  • Referral program
  • Vision insurance

Preferred Skills

  • Model evaluation frameworks and LLM observability tools
  • AI governance and compliance frameworks
  • Kubernetes and advanced MLOps practices
  • Model Context Protocol (MCP) patterns
  • Agent-based architectures

Domain Experience

  • AI/ML Platform Engineering
  • Generative AI / LLM Applications
  • Data Platform / Big Data Engineering

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

Application Questions

  • Are you comfortable working on W2? If not, please hold off on completing the application for now. We’ll be posting another opportunity in the future for 1099/C2C candidates.
  • Are you willing to work on a contract basis? If not, please hold off on completing the application for now. We’ll be posting another opportunity in the future for full time roles.
  • Do you have a minimum of 5 years of experience with Graph Databases (Amazon Neptune, Knowledge Graphs)?
  • Do you have a minimum of 5 years of experience with Agentic AI Frameworks (LangGraph / AutoGen / CrewAI)?
  • Do you have a minimum of 5 years of experience with Databricks & Apache Spark (data pipelines, embedding pipelines)?
  • Do you have a minimum of 5 years of experience with Backend/API Development (Python, scalable APIs, microservices)?
  • Do you have a minimum 5 years of experience with Generative AI / LLM (RAG, embeddings, prompt engineering)?
  • Do you have a minimum of 5 years of experience with AWS Cloud (OpenSearch, Neptune, DynamoDB, ElastiCache/Redis)?
  • Do you have a minimum of 5 years of experience with Vector Search & Retrieval Systems (OpenSearch / Vector DB)?

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