Agentic AI Software Engineer

Summary

Provenir is a unified Decision Intelligence Platform that empowers enterprises to manage risk and drive growth. They are seeking an experienced Software Engineer to enhance cloud-native capabilities within their SaaS platform, focusing on developing reliable Python services and APIs, and working on emerging AI technologies.

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

Skills

• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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

Benefits

• Comprehensive health and wellness plans
• Paid time off
• Company holidays
• Flexible and remote-friendly opportunities
• Maternity/paternity leave