Agentic AI Software Engineer

Who We Are Provenir is the unified Decision Intelligence Platform that gives enterprises full control over end- to-end customer decisioning — to manage risk, drive growth, and transform business outcomes. By consolidating data, AI models, intelligence, agents and governance into a single decisioning environment, Provenir empowers business teams to configure and evolve strategy directly, while maintaining enterprise-grade reliability and regulatory compliance. Trusted by 120+ institutions in 60+ countries, Provenir processes over 4 billion decisions annually — turning architectural coherence into sustained risk performance and measurable value. Ready to solve meaningful challenges, work with enterprise customers, and help shape the future of AI-powered decisioning? Join us. What We’re Looking For We are seeking an experienced Software Engineer to help build and enhance cloud-native capabilities within our SaaS platform. This role is primarily focused on developing reliable, scalable Python services and APIs, with opportunities to work on generative AI, intelligent agents, and other emerging AI capabilities. The ideal candidate has a strong background in backend software development, particularly within a SaaS or cloud-based product environment. Prior experience with large language models, LangChain, retrieval-augmented generation, or AI agents is beneficial but not required. We are looking for engineers who have strong software engineering fundamentals and are interested in applying those skills to modern AI-enabled applications. This role can be performed remotely. Candidates located in or able to travel to the New York City metropolitan area are preferred and should expect to attend in-person meetings at our New Jersey office approximately once a month. We are only considering candidates who are authorized to work in the United States without the need for current or future visa sponsorship. Key Responsibilities And Experience Three or more years of professional software development experienceStrong Python development skills, including experience building production backend services and APIsExperience with modern Python frameworks, preferably FastAPIStrong understanding of software design, object-oriented programming, maintainable code, and automated testing using tools such as pytest or unittestExperience developing and supporting cloud-based or multi-tenant SaaS applicationsExperience designing REST APIs, service integrations, and reusable backend componentsHands-on experience with Docker and containerized application developmentFamiliarity with Kubernetes and cloud-native deployment environmentsExperience working with AWS services such as EKS, S3, IAM, Lambda, and CloudWatchExperience with CI/CD pipelines, version control, monitoring, logging, and production supportUnderstanding of application scalability, resilience, security, and observabilityExperience with another object-oriented language such as Java, C#, or C++ is beneficial Preferred Experience The following experience is valuable but not required: Building applications that use large language models or generative AILangChain, LangGraph, LlamaIndex, or similar AI application frameworksDeveloping AI agents that use tools, APIs, or external servicesRetrieval-augmented generation, embeddings, and vector searchAmazon Bedrock or other managed AI platformsPrompt engineering, structured model output, and LLM evaluationMachine learning model deployment or MLOps practicesInfrastructure as Code using Terraform or CloudFormationGitHub Actions or similar CI/CD platforms What You’ll Be Doing Designing, developing, testing, and maintaining Python-based backend services and APIsBuilding reusable components and platform capabilities for a cloud-native SaaS productIntegrating internal services, external APIs, and third-party platformsDeveloping containerized services that run in Kubernetes on AWSImproving application scalability, resilience, security, monitoring, and operational supportWorking closely with product managers, architects, and other engineering teams to deliver customer-facing capabilitiesContributing to software design, code reviews, automated testing, and engineering standardsSupporting services throughout their full lifecycle, from initial design through production operationApplying generative AI and large language models to new product capabilities where appropriateHelping develop AI-enabled workflows, intelligent agents, tool integrations, and reusable GenAI platform componentsEvaluating emerging AI technologies and determining how they can be safely and effectively incorporated into the platform The Interview Process Would Typically Be Structured As Follows Team Fit. A conversation with our Senior Engineering Team to explore how you work, what you're looking for, and how you'd fit with the team Live Coding: Build an AI Agent. Live session in your language of choice (e.g. Python). You'll build an AI agent from scratch, give it a skill, and get it to complete a real task — we're watching how you think, structure, and debug in real time, not just the output. Technical Interview. With data science and/or engineering leadership — walk through what you built, why you made the choices you did, and how your approach extends to graph and identity problems, production systems, and team building. On-site Requirement This role requires travel to our New Jersey office - approximately once per quarter. Shortlisted candidates will also be asked to attend at least one interview stage in person Please factor this in before proceeding. Our employees are our top priority; we offer comprehensive health and wellness plans. You will enjoy paid time off and company holidays, flexible and remote-friendly opportunities, and maternity/paternity leave. At Provenir, we recognize that diversity and inclusion make our teams stronger. We are committed to equal employment opportunity and welcome everyone regardless of race, colour, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, citizenship, or veteran status or medical condition. We encourage people from all backgrounds to apply.