• Design, develop, and test complex software engineering projects • Collaborate with platform engineers, security engineers, and data engineers • Participate in code reviews • Maintain currency in the field and implement knowledge into the department • Assist in developing and executing software engineering practices and strategies • Ensure outstanding end-user support and technical assistance • Communicate project status using departmental project management tools • Participate actively in project meetings and serve as technical lead for projects

• Owning and evolving Next.js/React frontend with authenticated flows and secure session handling • Designing and implementing secure, scalable access patterns (OAuth2/OIDC, authorization boundaries) • Building and maintaining FastAPI backend services for agent-driven workflows and data integrations • Developing PoCs using latest technologies, experimenting with third party integrations • Delivering production grade applications once PoCs are validated • Creating solutions that enable data scientists and business analysts to be self-sufficient as much as possible • Finding new ways how to leverage Gen AI applications and underlying vector and graph data storages • Working with data warehouses, databases, and building data flows for fetching and aggregation • Contributing to infrastructure-as-code and AWS-based systems • Documenting design decisions before implementation

• Apply AI to Real Financial Problems: Use GenAI and ML to help users make sense of their money, whether that's understanding spending patterns, surfacing actionable insights, or automating tedious financial tasks. You'll identify where AI can make a meaningful difference and build solutions that users rely on daily. • Choose the Right Tool for Each Problem: Navigate the AI toolkit thoughtfully. Know when a well-crafted prompt suffices, when retrieval systems add value, and when custom models are worth the investment. You'll balance innovation with pragmatism to ship features that work reliably at scale. • Ship with Confidence: Leverage and enhance our sophisticated evaluation framework to ensure AI quality. You'll design test datasets, implement new scorers, and use our Braintrust-based eval system to validate changes before they reach users. • You Own: AI feature development, agent design and orchestration, ML model improvements, evaluation datasets and scorers, prompt engineering, and feature-level quality. • AI Platform Owns: LLM routing and provider management, observability and cost attribution, infrastructure reliability, and shared AI services. • Together You Own: End-to-end feature quality, evaluation frameworks, production incident response, and AI roadmap priorities.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for a hands-on Enterprise Integration Engineer with strong MuleSoft development experience and deep knowledge of API-led integration patterns. This role requires active development, integration design, and technical modeling using UML tools such as Sparx Enterprise Architect. - Design, develop, and implement enterprise integrations using MuleSoft Anypoint Platform. - Build and deploy System, Process, and Experience APIs following API-led connectivity principles. - Develop RAML specifications and manage APIs through API Manager and Exchange. - Create detailed architecture and sequence diagrams using Sparx Enterprise Architect (UML). - Implement integrations with REST/SOAP services, databases, SaaS platforms, and legacy systems. - Develop data transformations using DataWeave. - Troubleshoot, optimize, and enhance integration flows for performance and scalability. - Participate in code reviews, testing, and production deployments. - Collaborate with architects, business analysts, and developers to translate requirements into working integration solutions. - Support CI/CD pipelines for Mule deployments across environments. Qualifications - 5+ years of hands-on enterprise integration experience. - Strong development experience with MuleSoft Anypoint Platform. - Experience implementing API-led integration patterns (System, Process, Experience APIs). - Proficiency in DataWeave, REST APIs, JSON, XML, and SOAP services. - Hands-on experience using UML modeling tools (Sparx Enterprise Architect preferred). - Experience integrating with databases (SQL/NoSQL), messaging systems, and cloud platforms. - Strong debugging and performance tuning skills. - Experience working in Agile/Scrum environments. Benefits - Competitive compensation. - Comprehensive health coverage. - Wellness programs. - 401K company match. - Self-managed PTO. - Unique incentives that celebrate your accomplishments. - Remote and Hybrid Work. - Time Off When You Need It. - Benefits That Flex. - Professional Development opportunities. Company Description Founded in 1999 with a remote workforce, we combine the benefits of experience, flexibility, and cost efficiency to create tailored solutions centered on what’s best for businesses. Now numbering more than 1,400 employees in the U.S. and India, we’re committed to solving clients’ toughest problems and delivering on our mission of providing unmatched experiences. Our purpose at Centric Consulting is to bring unmatched experiences to clients and employees. These aren't just words we use — it's how we became a company and who we are today. Providing an unmatched experience means we approach each other as human beings and lead with empathy and humility. It means we work diligently to ensure we are a place where everyone can create a sense of belonging and feel respected for who they are.