Agentic AI Software Engineer

Provenir is the unified Decision Intelligence Platform that empowers enterprises to manage risk and drive growth through AI-powered decisioning. They are seeking an experienced Software Engineer to develop reliable, scalable Python services and APIs for their SaaS platform, with opportunities to work on generative AI and intelligent agents.

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

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
• Experience with another object-oriented language such as Java, C#, or C++ is beneficial
• 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