Software Engineer - GenAI/Agentic AI

Revenera helps product executives build better products, accelerate time to value and monetize what matters.  Revenera’s leading solutions help software and technology companies drive top line revenue with modern software monetization, understand usage and compliance with software usage analytics, empower the use of open source with software composition analysis and deliver an excellent user experience—for embedded, on premises, cloud, and SaaS products.

We are looking for an AI Software Engineer with strong Python skills and hands on experience building GenAI and Agentic AI applications.

Responsibilities

• Build AI agents and multi agent workflows
• Develop GenAI applications using LLMs, RAG, embeddings, and vector databases
• Create APIs and backend services using Python
• Integrate AI systems with enterprise tools and APIs
• Optimize AI performance, latency, and token usage
• Deploy scalable AI applications using cloud and container technologies

Required Skills

• Strong Python programming
• Experience with LLMs and GenAI applications
• Hands on experience with frameworks like LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel
• Good understanding of:
  • RAG
  • Prompt engineering
  • Function calling
  • Vector databases
  • AI agent orchestration
• Experience with FastAPI or Flask
• Experience with Docker, GitHub Actions, and CI/CD
• Familiarity with AWS Bedrock, SageMaker, Azure OpenAI, or Vertex AI

Good to Have

• Kubernetes and microservices experience
• AI observability and evaluation frameworks
• Experience building enterprise AI copilots or automation agents

Qualification

• Bachelor’s degree in Computer Science or related field
• 3+ years in software engineering
• Experience building production ready AI solutions

We are looking for someone who can independently design, build, and deploy AI powered systems end to end.

Revenera is proud to be an equal opportunity employer.  Qualified applicants will be considered for open roles regardless of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by local/national laws, policies and/or regulations.  Regarding disability, we encourage candidates requiring accommodations to please let us know by emailing [email protected].