{"schemaVersion":"jobsearcher.job.v1","id":"8ebbf00e58ad32a1fdffba38","url":"https://jobsearcher.com/jobs/8ebbf00e58ad32a1fdffba38","canonicalUrl":"https://jobsearcher.com/jobs/8ebbf00e58ad32a1fdffba38","title":"AI / Agent Engineer","description":"ROLE OVERVIEW\nWe are looking for a skilled AI / Agent Engineer to build, integrate, and operate intelligent agentic systems that power automation and AI-driven experiences across our fintech platform. You will work within a cross-functional AI Pod, developing agent workflows, integrating LaunchDarkly for feature management, and ensuring robust observability across all AI systems. You will collaborate closely with architects and senior engineers to deliver high-quality agentic solutions.\n\nKEY RESPONSIBILITIES\nDesign, develop, and deploy AI Agent workflows using LLM-based orchestration frameworks (LangChain, AutoGen, CrewAI, or similar).\nIntegrate LaunchDarkly for feature flagging, progressive rollouts, and experimentation across AI-enabled features.\nImplement comprehensive telemetry, logging, distributed tracing, and monitoring for AI agent systems.\nBuild and maintain A/B testing and experimentation frameworks to evaluate agent performance and model outputs.\nDevelop REST and event-driven integrations to connect AI agents with enterprise data sources and downstream systems.\nAuthor technical documentation including agent design specs, integration guides, and architecture deliverables.\nParticipate in sprint ceremonies, contribute to backlog grooming, and deliver iteratively within an Agile framework.\nSupport incident response, root-cause analysis, and continuous improvement for production AI systems.\n\nREQUIRED SKILLS & EXPERIENCE\n8+ years of software engineering experience with at least 1+ year(s) focused on AI/ML or agentic systems.\nProficiency in Python (primary) and familiarity with TypeScript or Java for integration layers.\nHands-on experience developing AI Agents using LangChain, AutoGen, CrewAI, or comparable frameworks.\nWorking knowledge of LaunchDarkly or equivalent feature flagging / experimentation platforms.\nExperience implementing observability stacks: OpenTelemetry, Datadog, Grafana, Prometheus, or similar.\nUnderstanding of LLM APIs (OpenAI, Anthropic, Azure OpenAI) and prompt engineering best practices.\nFamiliarity with cloud platforms (AWS, Azure, or GCP) and containerized deployments (Docker, Kubernetes).\nStrong communication skills with the ability to produce clear technical documentation.\n\nPREFERRED QUALIFICATIONS\nExperience in financial services, banking, or fintech environments.\nExposure to vector databases (Pinecone, Weaviate, pgvector) and RAG (Retrieval-Augmented Generation) architectures.\nExposure to CI/CD pipelines and DevOps practices for ML or AI systems.\nFamiliarity with responsible AI principles, bias testing, and model evaluation frameworks.","company":"Qode","rawCompany":"qode","city":"Jackson Twp","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-07-23T15:08:14.241Z","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":"15-1299.07","title":"Blockchain Engineers","slug":"blockchain-engineers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI / Agent Engineer","description":"ROLE OVERVIEW\nWe are looking for a skilled AI / Agent Engineer to build, integrate, and operate intelligent agentic systems that power automation and AI-driven experiences across our fintech platform. You will work within a cross-functional AI Pod, developing agent workflows, integrating LaunchDarkly for feature management, and ensuring robust observability across all AI systems. You will collaborate closely with architects and senior engineers to deliver high-quality agentic solutions.\n\nKEY RESPONSIBILITIES\nDesign, develop, and deploy AI Agent workflows using LLM-based orchestration frameworks (LangChain, AutoGen, CrewAI, or similar).\nIntegrate LaunchDarkly for feature flagging, progressive rollouts, and experimentation across AI-enabled features.\nImplement comprehensive telemetry, logging, distributed tracing, and monitoring for AI agent systems.\nBuild and maintain A/B testing and experimentation frameworks to evaluate agent performance and model outputs.\nDevelop REST and event-driven integrations to connect AI agents with enterprise data sources and downstream systems.\nAuthor technical documentation including agent design specs, integration guides, and architecture deliverables.\nParticipate in sprint ceremonies, contribute to backlog grooming, and deliver iteratively within an Agile framework.\nSupport incident response, root-cause analysis, and continuous improvement for production AI systems.\n\nREQUIRED SKILLS & EXPERIENCE\n8+ years of software engineering experience with at least 1+ year(s) focused on AI/ML or agentic systems.\nProficiency in Python (primary) and familiarity with TypeScript or Java for integration layers.\nHands-on experience developing AI Agents using LangChain, AutoGen, CrewAI, or comparable frameworks.\nWorking knowledge of LaunchDarkly or equivalent feature flagging / experimentation platforms.\nExperience implementing observability stacks: OpenTelemetry, Datadog, Grafana, Prometheus, or similar.\nUnderstanding of LLM APIs (OpenAI, Anthropic, Azure OpenAI) and prompt engineering best practices.\nFamiliarity with cloud platforms (AWS, Azure, or GCP) and containerized deployments (Docker, Kubernetes).\nStrong communication skills with the ability to produce clear technical documentation.\n\nPREFERRED QUALIFICATIONS\nExperience in financial services, banking, or fintech environments.\nExposure to vector databases (Pinecone, Weaviate, pgvector) and RAG (Retrieval-Augmented Generation) architectures.\nExposure to CI/CD pipelines and DevOps practices for ML or AI systems.\nFamiliarity with responsible AI principles, bias testing, and model evaluation frameworks.","datePosted":"2026-07-23T15:08:14.241Z","dateModified":"2026-07-23T15:08:14.241Z","hiringOrganization":{"@type":"Organization","name":"Qode","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Jackson Twp","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8ebbf00e58ad32a1fdffba38"},"url":"https://jobsearcher.com/jobs/8ebbf00e58ad32a1fdffba38"}}