AI/Agent Engineer
Job in
Jackson, Ocean County, New Jersey, 08527, USA
Listed on 2026-06-07
Listing for:
Qode
Full Time
position Listed on 2026-06-07
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Cloud Engineer - Software
Job Description & How to Apply Below
ROLE OVERVIEW
We 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 Launch Darkly 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.
KEY RESPONSIBILITIES
- Design, develop, and deploy AI Agent workflows using LLM-based orchestration frameworks (Lang Chain, Auto Gen, CrewAI, or similar).
- Integrate Launch Darkly for feature flagging, progressive rollouts, and experimentation across AI-enabled features.
- Implement comprehensive telemetry, logging, distributed tracing, and monitoring for AI agent systems.
- Build and maintain A/B testing and experimentation frameworks to evaluate agent performance and model outputs.
- Develop REST and event-driven integrations to connect AI agents with enterprise data sources and downstream systems.
- Author technical documentation including agent design specs, integration guides, and architecture deliverables.
- Participate in sprint ceremonies, contribute to backlog grooming, and deliver iteratively within an Agile framework.
- Support incident response, root-cause analysis, and continuous improvement for production AI systems.
- 8+ years of software engineering experience with at least 1+ year(s) focused on AI/ML or agentic systems.
- Proficiency in Python (primary) and familiarity with Type Script or Java for integration layers.
- Hands-on experience developing AI Agents using Lang Chain, Auto Gen, CrewAI, or comparable frameworks.
- Working knowledge of Launch Darkly or equivalent feature flagging / experimentation platforms.
- Experience implementing observability stacks:
Open Telemetry, Datadog, Grafana, Prometheus, or similar. - Understanding of LLM APIs (OpenAI, Anthropic, Azure OpenAI) and prompt engineering best practices.
- Familiarity with cloud platforms (AWS, Azure, or GCP) and containerized deployments (Docker, Kubernetes).
- Strong communication skills with the ability to produce clear technical documentation.
- Experience in financial services, banking, or fintech environments.
- Exposure to vector databases (Pinecone, Weaviate, pgvector) and RAG (Retrieval-Augmented Generation) architectures.
- Exposure to CI/CD pipelines and Dev Ops practices for ML or AI systems.
- Familiarity with responsible AI principles, bias testing, and model evaluation frameworks.
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