Job Opportunities API

O.C. Tanner is the global leader in software and services that improve workplace culture through meaningful employee experiences. Our Culture Cloud is a suite of apps designed to enhance the employee experience with strategic recognition, service awards, wellbeing, leadership, and events that help people thrive at work. Our Culture by Design approach provides expert services to organizations looking to create great workplaces. Our global team of 1,500 people hail from 58 countries and speak 62 languages. As programmers, researchers, designers, client professionals and craftspeople we create the tech, tools and awards that connect employees to purpose at thousands of companies. Join us as we help people all over the world thrive at work. Job Description Critical member of the Product Engineering team, responsible for designing, developing, and deploying AI-powered features and agentic experiences into OC Tanner's product portfolio. Core Responsibilities • Design and implement AI-powered features using large language models (LLMs) from providers including Anthropic Claude, OpenAI, and open-source alternatives • Build agentic AI systems using frameworks such as   LangChain ,   LangGraph , and similar orchestration tools to create intelligent, multi-step workflows • Develop and   maintain   production-grade AI applications that integrate with existing product infrastructure • Architect prompt engineering strategies and retrieval-augmented generation (RAG) systems to   optimize   AI responses for product-specific use cases • Collaborate with Product Managers, UX Designers, and Engineering teams to   identify   opportunities for AI enhancement across the product suite • Build and   optimize   vector databases and semantic search capabilities to power intelligent product features • Implement monitoring, evaluation, and quality assurance frameworks for AI system outputs • Design and   maintain   APIs and integrations between AI services and core product functionality • Prototype and   validate   new AI capabilities, conducting rapid experimentation to assess feasibility and value • Ensure responsible AI practices including output validation, bias mitigation, and user privacy protection • Document AI system architectures, decision rationales, and implementation patterns for team knowledge sharing • Stay current with rapidly evolving AI/ML landscape and evaluate emerging tools and techniques for product application Technical Environment • Work with commercial LLM APIs (Anthropic Claude, OpenAI GPT-4, etc.) and open-source models • Utilize AI orchestration frameworks including   LangChain ,   LangGraph , and related ecosystem tools • Develop using Python as primary language for AI/ML workflows • Implement vector databases (Pinecone, Chroma,   Weaviate , etc.) for semantic search and retrieval • Build RESTful APIs and microservices to expose AI functionality • Deploy AI services using cloud infrastructure (AWS, Azure, GCP) • Integrate with existing product databases and data pipelines • Use version control (Git) and collaborative development workflows Skills and Special Requirements • Strong   proficiency   in Python programming with focus on AI/ML libraries and frameworks • Deep understanding of large language model capabilities, limitations, and prompt engineering techniques • Experience building production applications with   LangChain ,   LangGraph , or similar agentic AI frameworks • Knowledge of vector databases and semantic search architectures • Familiarity with API design and integration patterns • Understanding of RAG (Retrieval-Augmented Generation) system architectures • Ability to translate business requirements into AI-powered product features • Experience with A/B testing and evaluation metrics for AI systems • Strong problem-solving skills and ability to work in ambiguous,   rapidly-evolving   technical domains • Excellent communication skills to explain AI capabilities and limitations to non-technical stakeholders • Understanding of responsible AI principles including bias, fairness, and privacy considerations Education/Experience • Bachelor's or   Master's degree in Computer Science , Software Engineering, Data Science, or related technical field • 3+ years of software engineering experience with at least   2   years focused on   AI and looking for production   experience   AI/ML applications . • Demonstrated experience shipping AI-powered features to production environments • Portfolio of projects   showcasing   LLM integration and agentic AI system development preferred • Good in Communication skills and English