Why this role stands out
Embrace cutting-edge Generative AI and LLM development with Photon, a leader in digital modernization with two decades of Fortune 500 impact. This hybrid role is ideal for experienced AI Engineers eager to expand their skills in prompt engineering, RAG, and AI agents, contributing to innovative digital hyper-expansion. You'll thrive in a collaborative environment that offers significant career growth and the opportunity to shape the future of digital experiences.
Quick overview
Job description
Greetings From Photon,
We Hope you are good! We are hiring AI Engineer to join our Digital Engineering team.
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
AI Engineer
Required Qualifications
- 8+ years of software engineering experience, including strong hands-on development in JavaScript/TypeScript, with recent experience building, enhancing, and supporting Generative AI/LLM-based applications in production environments.
- Experience developing, enhancing, and supporting production-grade enterprise applications, digital platforms, or AI-powered products.
- Hands-on experience building Generative AI / LLM-based applications, including AI assistants, copilots, or workflow automation solutions.
- Experience integrating applications with Large Language Models (LLMs), AI services, enterprise APIs, and external business systems.
- Strong understanding of key GenAI concepts including:
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI Agents and Agentic Workflows
- Tool / Function Calling
- Context and Conversation Management
- LLM Evaluation and Monitoring
- Prompt Optimization and Versioning
- Hands-on experience building and supporting AI agents, multi-step reasoning workflows, and task automation solutions.
- Experience implementing AI evaluation frameworks, quality benchmarks, testing methodologies, and response scoring mechanisms.
- Experience building and consuming REST APIs and integrating with enterprise systems and data sources.
- Strong experience with Node.js, React, React Native, JavaScript, and TypeScript-based application development.
- Ability to troubleshoot complex production issues across application, integration, AI/model, agent workflow, and platform layers.
- Experience with modern software engineering practices including source control, automated testing, CI/CD, monitoring, observability, and production deployments.
- Understanding of security, authentication, authorization, data privacy, governance, and Responsible AI considerations for enterprise AI applications.
Preferred Qualifications
- Experience working on an Enterprise AI Platform or shared Generative AI platform.
- Experience developing AI applications using JavaScript/TypeScript-based frameworks, SDKs, and modern full-stack architectures.
- Experience building or supporting AI Agents, Agentic Workflows, and Multi-Agent Systems.
- Hands-on experience with frameworks such as:
- LangGraph
- LangChain
- Semantic Kernel
- CrewAI
- AutoGen
- Experience with RAG, embeddings, vector databases, semantic search, enterprise knowledge retrieval, and hybrid search solutions.
- Familiarity with AI observability, model evaluation, prompt/version management, usage monitoring, response quality measurement, and cost optimization.
- Experience integrating AI capabilities with multiple enterprise applications, APIs, and business workflows.
- Familiarity with cloud-based AI services and foundation models such as:
- Azure OpenAI
- Azure AI Services
- AWS Bedrock
- Google Vertex AI
- Experience supporting business-critical AI applications in production environments.
- Experience building digital engineering solutions using React, React Native, Node.js, TypeScript, and modern web application frameworks.
Core Skills
JavaScript / TypeScript | Node.js | React | React Native | Generative AI | LLM Integration | AI Agents | Agentic Workflows | RAG | Prompt Engineering | AI Evaluation Frameworks | AI Observability | LangGraph | LangChain | Semantic Kernel | API Development & Integration | Enterprise Application Development | Azure OpenAI | Production Support.
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