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 experience
• Strong Python development skills, including experience building production backend services and APIs
• Experience with modern Python frameworks, preferably FastAPI
• Strong understanding of software design, object-oriented programming, maintainable code, and automated testing using tools such as pytest or unittest
• Experience developing and supporting cloud-based or multi-tenant SaaS applications
• Experience designing REST APIs, service integrations, and reusable backend components
• Hands-on experience with Docker and containerized application development
• Familiarity with Kubernetes and cloud-native deployment environments
• Experience working with AWS services such as EKS, S3, IAM, Lambda, and CloudWatch
• Experience with CI/CD pipelines, version control, monitoring, logging, and production support
• Understanding of application scalability, resilience, security, and observability
• Experience 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 AI
• LangChain, LangGraph, LlamaIndex, or similar AI application frameworks
• Developing AI agents that use tools, APIs, or external services
• Retrieval-augmented generation, embeddings, and vector search
• Amazon Bedrock or other managed AI platforms
• Prompt engineering, structured model output, and LLM evaluation
• Machine learning model deployment or MLOps practices
• Infrastructure as Code using Terraform or CloudFormation
• GitHub Actions or similar CI/CD platforms

What You’ll Be Doing

• Designing, developing, testing, and maintaining Python-based backend services and APIs
• Building reusable components and platform capabilities for a cloud-native SaaS product
• Integrating internal services, external APIs, and third-party platforms
• Developing containerized services that run in Kubernetes on AWS
• Improving application scalability, resilience, security, monitoring, and operational support
• Working closely with product managers, architects, and other engineering teams to deliver customer-facing capabilities
• Contributing to software design, code reviews, automated testing, and engineering standards
• Supporting services throughout their full lifecycle, from initial design through production operation
• Applying generative AI and large lan…