Jobs at AgileEngine

Develop predictive models and quantitative analytics to prioritize vulnerabilities by risk and business impact. Analyze large-scale security telemetry, build machine learning models to reduce scanning noise and false positives, and create unified dashboards supporting data-driven security governance. The role requires autonomous commercial data science experience in vulnerability management, with advanced Python, R, SQL, TensorFlow, and PyTorch skills.

Architects low-latency .NET APIs and backend services while building Angular interfaces for a large-scale financial platform. Develops microservices and message-driven systems, maintains automated test coverage, participates in code reviews, manages CI/CD and observability, and defines OpenAPI contracts. The role requires SQL and NoSQL expertise, Agile/Scrum experience, and production experience with .NET and Angular.

Lead a software squad while remaining hands-on in backend development with Java and Spring Boot and frontend development with Angular. Design scalable RESTful APIs, guide migration toward domain-driven design and bounded contexts, mentor junior developers, and uphold strong engineering standards. Work with Kafka, relational databases, JPA/Hibernate, performance optimization, and architectural patterns. Nice-to-have experience includes cloud platforms, Docker, CI/CD, legacy modernization, and loyalty or fintech products.

Build production-grade AI agents that analyze infrastructure discovery logs, execution results, and failures at scale. Develop capabilities for failure classification, root-cause analysis, troubleshooting, corrective-action recommendations, and guarded probe or pattern corrections. Create data-processing pipelines and REST integrations that feed monitoring telemetry into AI systems. The role requires advanced Python, Gen AI API integration, RAG, vector databases, CI/CD, automated testing, and deployment expertise.

Author and QA AI-driven automations for defined healthcare workflows, execute accurate high-volume automation tasks, provide support, and maintain technical and process documentation. The role contributes to application and developer-tooling improvements while collaborating remotely with product, engineering, and QA teams through GitHub, Slack, and JIRA. This is a three-month contract with potential extension.

Design, develop, and maintain full-stack web applications for a tax workpapers platform. Build React frontends and backend services with Node.js, C#, and Python; manage PostgreSQL, DynamoDB, and AWS infrastructure; implement Terraform IaC and GitLab CI/CD; write Jest and Playwright tests; and troubleshoot issues across the development lifecycle.

Engage pre-generated candidates through email and other channels, introduce job opportunities, conduct initial screening, and move qualified candidates into the recruitment pipeline. Maintain accurate CRM and Google Sheets records, collaborate with internal teams, and manage high volumes of written communication while following structured processes.

Own BI product strategy for Quote-to-Cash and Order-to-Cash financial systems. Partner with finance, sales, legal, product, and engineering teams to identify operational friction, translate needs into BI, AI, and machine learning opportunities, author PRDs and roadmaps, and ensure quoting, billing, deal structuring, and revenue recognition processes are accurately represented in downstream data products.

Own and optimize performance marketing for the US B2B market, managing Google Ads and other paid acquisition channels. Analyze the full funnel, campaign data, attribution, lead quality, and pipeline contribution using GA4, CRM data, and dashboards. Plan budgets, run experiments, identify growth opportunities, and explore AI-powered advertising channels. Collaborate with marketing teams, develop scalable processes, and mentor a PPC specialist.

Design, develop, and maintain full-stack web applications using ReactJS, Node.js, C#, and Python. Manage PostgreSQL and DynamoDB data layers, AWS infrastructure, Terraform-based infrastructure as code, and GitLab CI/CD pipelines. Create automated tests with Jest and Playwright, troubleshoot technical issues, and collaborate with product managers, designers, and engineers. This is a fully remote, three-month project engagement.

Prospect, develop, and close new client relationships for a digital consultancy. Own the sales lifecycle from lead generation and pitching through contract development and delivery handoff, while managing revenue quotas and expanding existing accounts. Research markets, build long-term client relationships, attend consulting sessions and industry events, deliver presentations, coordinate with legal, delivery, and engineering teams, and travel within the United States for stakeholder and networking engagements.

Designs and builds production-grade agentic applications using Java, Spring Boot, React, and AI orchestration patterns. Responsibilities include developing multi-agent workflows, integrating tools and APIs, managing context and state, establishing evaluation and governance standards, and moving prototypes into reliable, secure, observable production systems. The role also mentors engineers, shapes agentic technical strategy, and applies AI coding agents across development, testing, deployment, support, and incident response.

Engage pre-generated candidates through email and other channels, conduct initial screening, motivate qualified leads through the recruitment process, maintain accurate CRM and Google Sheets records, and collaborate with internal teams to build a steady pipeline of qualified candidates.

Support AI/ML execution across large-scale image and video datasets by managing annotation workflows, running model training and evaluation jobs, maintaining benchmarks, documenting results, and analyzing model failures with senior engineers. The role focuses on foundational computer vision and machine learning tasks, data quality, and production deployment support, with growth opportunities toward applied modeling or MLOps.

Engage pre-generated candidates through email and other channels, introduce job opportunities, conduct initial qualification, and motivate suitable leads through the recruitment process. Maintain accurate candidate data in CRM systems and Google Sheets, while collaborating with recruiting teams and other departments to sustain a strong candidate pipeline.

Design, develop, and maintain full-stack web applications for a tax workpapers platform. Build ReactJS frontends and backend services with Node.js, C#, and Python; manage PostgreSQL, DynamoDB, and AWS infrastructure; implement Terraform-based IaC and GitLab CI/CD; write Jest and Playwright tests; collaborate with cross-functional teams and resolve technical issues.

Build production-grade AI agents that analyze infrastructure discovery logs, execution results, errors, and failed discoveries. Develop capabilities for failure classification, root-cause analysis, troubleshooting, corrective-action recommendations, and guarded probe or pattern corrections. Create data-processing pipelines and REST API integrations to bring monitoring telemetry into AI systems. The role requires advanced Python, Gen AI API integration, RAG, vector databases, CI/CD practices, automated testing, and deployment automation.

Execute hands-on application security and DevSecOps work across CI/CD pipelines. Develop Python automation to integrate SAST, DAST, and SCA security gates; tune vulnerability scanning tools; deploy hardened baselines and secure coding patterns; and provide code-level remediation guidance to Java and Python development teams.

Maintain and modernize employee lifecycle applications supporting candidate acquisition and development. Develop primarily with Python/Django, Java/Spring Boot, and React; strengthen Workday and iCIMS integrations; improve scalability, security, and user experience; and integrate AI-enabled workflows. Responsibilities include testing, debugging, REST API development, authentication and authorization, AI security governance, documentation, and collaboration through JIRA.

Develop Python automation scripts integrating SAST, DAST, and SCA security gates into CI/CD pipelines. Tune security scanning tools to reduce false positives, deploy hardened baselines and secure coding patterns, and provide Java- and Python-level remediation guidance. Work with development teams on complex scripting and integration tasks with minimal supervision.