Why this role stands out
This on-site AI Backend Engineer role at Photon offers a unique opportunity to shape cutting-edge AI solutions, leveraging your expertise in agentic workflows and LLMs. You'll thrive here if you're a seasoned backend engineer with a passion for innovation and a desire to lead impactful projects within a dynamic technology company.
Quick overview
Job description
About Us:
For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. Our current focus and innovation in Digital Hyper expansion TM offers nearly limitless opportunities for career growth. For a brief 1-minute video about us, you can check out
- Design, develop, and maintain scalable backend services using Node.js/TypeScript and/or Python.
- Build and integrate AI agents, agentic workflows, and LLM-powered applications.
- Implement LLM tool/function calling, prompt engineering, evaluation frameworks, and AI workflow orchestration.
- Develop and integrate REST APIs, microservices, and event-driven services.
- Design reliable integrations across AI services, enterprise applications, databases, and external systems.
- Partner directly with Product and Business teams to translate requirements into technical solutions.
- Provide technical leadership, code reviews, architecture guidance, and hands-on development.
- Lead and mentor an offshore engineering pod, ensuring delivery quality and alignment with project objectives.
- Monitor, troubleshoot, and optimize backend and AI workloads for performance, scalability, and reliability.
- 7+ years of backend/software engineering experience, with experience in a Senior/Lead capacity.
- Strong hands-on development experience with Node.js/TypeScript and/or Python.
- Practical experience building AI agents and agentic workflows using LLMs.
- Strong understanding of LLM tool/function calling, prompt design, and AI evaluation techniques.
- Experience developing and consuming REST APIs and working with event-driven architectures/services.
- Strong understanding of microservices, distributed systems, and backend architecture.
- Excellent communication and stakeholder-management skills, with the ability to work directly with Product and Business teams.
- Experience leading or coordinating offshore engineering teams/pods.
- Ability to work onsite in Rhode Island or Arizona, USA.
- Experience with LLM/AI platforms such as OpenAI, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
- Experience with RAG, vector databases, embeddings, and AI orchestration frameworks.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Familiarity with CI/CD, containers, Kubernetes, and observability tools.
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