What We're Looking ForWe are seeking an experienced Python 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.
Candidates must be authorized to work in the United States. Provenir is unable to provide employment visa sponsorship for this position now or in the future.
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- Exposure to generative AI applications, including LLMs, AI agents, RAG, or vector search
- Familiarity with managed AI platforms such as Amazon Bedrock
- Experience with MLOps, infrastructure as code, or CI/CD automation
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
- Contribute to AI-enabled product capabilities, including generative AI, intelligent agents, and tool integrations, based on product and customer needs
The interview process will 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 RequirementThis 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
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.
