{"schemaVersion":"jobsearcher.job.v1","id":"beb8259f40dd339f63a30f9b","url":"https://jobsearcher.com/jobs/beb8259f40dd339f63a30f9b","canonicalUrl":"https://jobsearcher.com/jobs/beb8259f40dd339f63a30f9b","title":"Lead AI Engineer","description":"Overview: We are seeking a highly hands-on AI Engineering leader with deep expertise in Generative AI, Agentic systems, and production-grade AI platforms. This role is not a pure management role — the ideal candidate will actively design, build, and scale AI systems (RAG, agents, evaluation frameworks) while leading engineering initiatives and influencing platform strategy. The candidate must demonstrate strong AI + AWS cloud expertise, with proven experience delivering enterprise-grade AI solutions in production environments. AI Engineering LeaderLocations: Austin, TX | Charlotte, NC | New York, NY | Tempe, AZ | San Diego, CA, (hands-on AI)Long-term Contract Core Responsibilities AI System Design & Development Design and build production-grade GenAI systems, including: Multi-agent architectures Retrieval-Augmented Generation (RAG) pipelines GraphRAG implementations Autonomous agent workflows and orchestration Develop and integrate AI agents with tools, APIs, and enterprise systems Implement MCP-based agent communication and tool-use frameworks Apply advanced prompt engineering techniques for reliability and performance Agentic AI & Evaluation Build and deploy multi-agent orchestration systems Develop and implement: Agent evaluation frameworks RAG evaluation pipelines Measure and optimize: Output quality Hallucination rates Relevance and groundedness Continuously improve models through evaluation-driven iteration Engineering & Platform Development Develop APIs and services using: Python (primary) .NET (preferred) Build scalable AI services with: REST APIs Microservices architecture Contribute to web-based AI applications using: Angular / TypeScript (preferred) Integrate AI systems into enterprise workflows and applications Cloud & Infrastructure (AWS Focus) Design and deploy AI solutions on AWS, leveraging: Lambda, S3, EC2, EKS, Glue, SNS, SQS Kafka-based streaming architectures Build scalable and secure AI pipelines using cloud-native patterns Implement cost-efficient and high-performance AI workloads DevOps & CI/CD Design and implement CI/CD pipelines using GitHub Actions Integrate AI workflows into CI/CD pipelines with strong AWS integration Ensure: Automated deployment Testing and validation of AI systems Continuous monitoring and iteration AI Development Tooling Leverage modern AI development tools and ecosystems, including: Claude (Claude API / Claude Code) Cursor AI (AI-assisted development workflows) Build and optimize developer workflows using AI-assisted coding tools Required Qualifications 10+ years of overall engineering experience 5+ years of hands-on AI/ML / GenAI development in production environments Strong experience building: AI agents (minimum 2+ implementations) GraphRAG systems (minimum 2+ implementations) MCP-based integrations (minimum 1+) Proven expertise in: Multi-agent orchestration RAG pipelines Agent and RAG evaluation frameworks Strong programming skills in: Python (must-have) Experience with: API development and system integration Strong experience with: AWS cloud platform (must-have) Preferred Qualifications Experience with: .NET / C# development Terraform (Infrastructure as Code) Experience building: Web applications using Angular / TypeScript Familiarity with: Kafka-based streaming systems Exposure to:","company":"Digitive","rawCompany":"digitive","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-04-23T08:41:00.128Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead AI Engineer","description":"Overview: We are seeking a highly hands-on AI Engineering leader with deep expertise in Generative AI, Agentic systems, and production-grade AI platforms. 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AI Engineering LeaderLocations: Austin, TX | Charlotte, NC | New York, NY | Tempe, AZ | San Diego, CA, (hands-on AI)Long-term Contract Core Responsibilities AI System Design & Development Design and build production-grade GenAI systems, including: Multi-agent architectures Retrieval-Augmented Generation (RAG) pipelines GraphRAG implementations Autonomous agent workflows and orchestration Develop and integrate AI agents with tools, APIs, and enterprise systems Implement MCP-based agent communication and tool-use frameworks Apply advanced prompt engineering techniques for reliability and performance Agentic AI & Evaluation Build and deploy multi-agent orchestration systems Develop and implement: Agent evaluation frameworks RAG evaluation pipelines Measure and optimize: Output quality Hallucination rates Relevance and groundedness Continuously improve models through evaluation-driven iteration Engineering & Platform Development Develop APIs and services using: Python (primary) .NET (preferred) Build scalable AI services with: REST APIs Microservices architecture Contribute to web-based AI applications using: Angular / TypeScript (preferred) Integrate AI systems into enterprise workflows and applications Cloud & Infrastructure (AWS Focus) Design and deploy AI solutions on AWS, leveraging: Lambda, S3, EC2, EKS, Glue, SNS, SQS Kafka-based streaming architectures Build scalable and secure AI pipelines using cloud-native patterns Implement cost-efficient and high-performance AI workloads DevOps & CI/CD Design and implement CI/CD pipelines using GitHub Actions Integrate AI workflows into CI/CD pipelines with strong AWS integration Ensure: Automated deployment Testing and validation of AI systems Continuous monitoring and iteration AI Development Tooling Leverage modern AI development tools and ecosystems, including: Claude (Claude API / Claude Code) Cursor AI (AI-assisted development workflows) Build and optimize developer workflows using AI-assisted coding tools Required Qualifications 10+ years of overall engineering experience 5+ years of hands-on AI/ML / GenAI development in production environments Strong experience building: AI agents (minimum 2+ implementations) GraphRAG systems (minimum 2+ implementations) MCP-based integrations (minimum 1+) Proven expertise in: Multi-agent orchestration RAG pipelines Agent and RAG evaluation frameworks Strong programming skills in: Python (must-have) Experience with: API development and system integration Strong experience with: AWS cloud platform (must-have) Preferred Qualifications Experience with: .NET / C# development Terraform (Infrastructure as Code) Experience building: Web applications using Angular / TypeScript Familiarity with: Kafka-based streaming systems Exposure to:","datePosted":"2026-04-23T08:41:00.128Z","dateModified":"2026-04-23T08:41:00.128Z","hiringOrganization":{"@type":"Organization","name":"Digitive","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"beb8259f40dd339f63a30f9b"},"url":"https://jobsearcher.com/jobs/beb8259f40dd339f63a30f9b"}}