AI / Agent Engineer – LaunchDarkly

Company: Incedo Inc.Website: : AI / Agent Engineer - LaunchDarklyLocation: New York, NYType: Full-Time

Before applying for this role, please read the following information about this opportunity found below.
About IncedoIncedo Inc. is a high-growth Digital, Data and AI Transformation Specialist firm headquartered in New Jersey. We are a long-term strategy execution partner for Fortune 500 enterprises, operating at the intersection of business and technology. We serve clients across 5 key industries – Banking & Payments, Wealth Management, Telecom, Hi-Tech and Life Sciences.
Incedo delivers ROI from AI @ Scale by leveraging the ‘Power of 3’:Deep domain expertise: Deep understanding of industries with an ability to identify and solve specific business problems.AI & Data: Integration of Data and AI capabilities with business priorities to deliver impact and ROI.Engineering & Operations: Excellence for building digital platforms, driving modernization, integration and tech operations.
With a team of 4,500+ professionals, we have offices across the U.S., Mexico, Canada, and India.
Position OverviewIncedo is seeking an AI / Agent Engineer – LaunchDarkly to design, develop, and operationalize AI-powered agents and integrate them into enterprise applications using modern feature management and observability practices. This role will focus on AI agent development and orchestration, LaunchDarkly integration, feature flagging, experimentation, and production monitoring within a wealth management technology environment.The ideal candidate combines hands-on experience building AI agents with a strong understanding of enterprise application integration, feature release strategies, telemetry, and production readiness. This individual will collaborate with engineering, architecture, product, and platform teams to deliver reliable, observable, and scalable AI-driven solutions.
Key ResponsibilitiesAI Agent Development & Orchestration: Design, develop, and integrate AI agents and agentic workflows into enterprise applications, leveraging appropriate LLMs, agent frameworks, and orchestration patterns.LaunchDarkly Integration & Feature Management: Implement LaunchDarkly feature flags, targeting rules, and controlled rollouts to manage AI agent capabilities, functionality, and application releases across environments.Experimentation & A/B Testing: Enable experimentation, controlled feature releases, and A/B testing to evaluate AI agent performance, user experience, and business outcomes.Telemetry & Observability: Implement and maintain logging, tracing, metrics, and monitoring to track AI agent behavior, application performance, reliability, latency, and errors.Enterprise Integration: Integrate AI agents with enterprise applications, APIs, and backend services while adhering to established security, scalability, and architectural standards.Production Readiness & Optimization: Support deployment, troubleshooting, performance optimization, and continuous improvement of AI-powered applications in production environments.Technical Documentation: Develop architecture diagrams, integration specifications, implementation guides, operational documentation, and technical design deliverables.Cross-Functional Collaboration: Partner with software engineers, solution architects, DevOps/platform teams, and product stakeholders to align implementation with enterprise architecture and business objectives.Governance & Best Practices: Apply engineering standards for secure AI implementation, configuration management, release governance, monitoring, and operational support.
Required QualificationsHands-on experience developing, integrating, or deploying AI agents, LLM-powered applications, or agentic workflows.Practical experience with LaunchDarkly, including feature flags, targeting, progressive rollouts, or feature management integrations.Strong software engineering skills in a modern programming language such as Python, Java, TypeScript, or JavaScript.Experience integrating enterprise applications through REST APIs, microservices, or other distributed application patterns.Familiarity with observability concepts, including application logging, distributed tracing, metrics, monitoring, and alerting.Understanding of experimentation methodologies, A/B testing, feature evaluation, and controlled release strategies.Ability to produce clear technical documentation, architecture diagrams, and integration specifications.Strong analytical, troubleshooting, communication, and cross-functional collaboration skills.
Preferred QualificationsExperience with agentic AI frameworks such as LangChain, LangGraph, AutoGen, or CrewAI.Familiarity with LLM APIs, tool calling, retrieval-augmented generation (RAG), and multi-step agent workflows.Experience with observability platforms and standards such as OpenTelemetry, Datadog, Grafana, or similar technologies.Familiarity with CI/CD pipelines, cloud-native deployments, containers, and automated testing.Experience implementing AI solutions in regulated industries, particularly wealth management, banking, or financial services.Understanding of enterprise security, data privacy, AI governance, and production controls.
Success CriteriaReliable integration of AI agent capabilities into enterprise applications.Effective use of LaunchDarkly to control feature exposure, manage releases, and support experimentation.Improved visibility into AI agent behavior and application performance through comprehensive telemetry.High-quality technical documentation and architecture deliverables.Production-ready implementations that align with enterprise security, reliability, and governance requirements.
Equal OpportunityIncedo is an equal opportunity employer committed to fostering an inclusive workplace. xzbcwsv We welcome qualified candidates from diverse backgrounds and experiences.