Agentic AI Software Engineer

Provenir Inc•New York, NY

1d•Remote

About The Position

Provenir is 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.

Requirements

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
Authorized to work in the United States without the need for current or future visa sponsorship

Nice To Haves

Prior experience with large language models, LangChain, retrieval-augmented generation, or AI agents
Experience with another object-oriented language such as Java, C#, or C++
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

Responsibilities

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 language models to new product capabilities where appropriate
Helping develop AI-enabled workflows, intelligent agents, tool integrations, and reusable GenAI platform components
Evaluating emerging AI technologies and determining how they can be safely and effectively incorporated into the platform