AI Engineering Leader

AI Engineering LeaderWe 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.Core ResponsibilitiesAI System Design & DevelopmentDesign and build production-grade GenAI systems, including:Multi-agent architecturesRetrieval-Augmented Generation (RAG) pipelinesGraphRAG implementationsAutonomous agent workflows and orchestrationDevelop and integrate AI agents with tools, APIs, and enterprise systemsImplement MCP-based agent communication and tool-use frameworksApply advanced prompt engineering techniques for reliability and performanceAgentic AI & EvaluationBuild and deploy multi-agent orchestration systemsDevelop and implement:Agent evaluation frameworksRAG evaluation pipelinesMeasure and optimize:Output qualityHallucination ratesRelevance and groundednessContinuously improve models through evaluation-driven iterationEngineering & Platform DevelopmentDevelop APIs and services using:Python (primary).NET (preferred)Build scalable AI services with:REST APIsMicroservices architectureContribute to web-based AI applications using:Angular / TypeScript (preferred)Integrate AI systems into enterprise workflows and applicationsCloud & Infrastructure (AWS Focus)Design and deploy AI solutions on AWS, leveraging:Lambda, S3, EC2, EKS, Glue, SNS, SQSKafka-based streaming architecturesBuild scalable and secure AI pipelines using cloud-native patternsImplement cost-efficient and high-performance AI workloadsDevOps & CI/CDDesign and implement CI/CD pipelines using GitHub ActionsIntegrate AI workflows into CI/CD pipelines with strong AWS integrationEnsure:Automated deploymentTesting and validation of AI systemsContinuous monitoring and iterationAI Development ToolingLeverage 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 toolsRequired Qualifications10+ years of overall engineering experience5+ years of hands-on AI/ML / GenAI development in production environmentsStrong experience building:AI agents (minimum 2+ implementations)GraphRAG systems (minimum 2+ implementations)MCP-based integrations (minimum 1+)Proven expertise in:Multi-agent orchestrationRAG pipelinesAgent and RAG evaluation frameworksStrong programming skills in:Python (must-have)Experience with:API development and system integrationStrong experience with:AWS cloud platform (must-have)Preferred QualificationsExperience with:.NET / C# developmentTerraform (Infrastructure as Code)Experience building:Web applications using Angular / TypeScriptFamiliarity with:Kafka-based streaming systemsExposure to:Advanced AI orchestration frameworks (LangChain, LangGraph, etc.)