L'Oreal - Generative AI Application Developer

Required Technical Skills : Programming & Frameworks : - Strong Python expertise (advanced level required)- Proficiency in FastAPI and Flask frameworks- Experience with async programming and concurrent processing- Strong understanding of OOP, design patterns, and clean code principlesGenAI Frameworks & Tools : - Hands-on experience with LangGraph, LangChain, or similar orchestration frameworks- Experience with Google ADK (Agent Development Kit) for agent development- Familiarity with OpenAI API, Anthropic Claude API, and other LLM providers- Experience with CrewAI, AutoGen, or other multi-agent frameworks- Knowledge of Model Context Protocol (MCP) and tool development- Understanding of AI agent architectures and agentic workflowsAI Safety & Guardrails (Required) : - Strong understanding of guardrails and safety mechanisms for AI applications- Experience with Google Model Armor or similar content safety tools- Knowledge of content moderation, input validation, and output filtering- Understanding of responsible AI principles and ethical AI development- Ability to implement safety checks and monitoring for AI systems- Awareness of Google quality standards for AI applications- Knowledge of bias detection and mitigation strategiesLLM Operations & Evaluation : - Experience with LangSmith or similar evaluation/observability tools- Knowledge of prompt engineering and system prompt design- Understanding of LLM evaluation metrics (BLEU, ROUGE, human eval, etc.)- Familiarity with testing frameworks for GenAI applications- Ability to measure and ensure application quality and safetyVector Databases : - Hands-on experience with at least one vector database (Pinecone, Weaviate, ChromaDB, Qdrant, Milvus, FAISS)- Understanding of embedding models and semantic search- Knowledge of hybrid search strategiesCloud Platforms (Required) : - Experience deploying applications on GCP (Google Cloud Platform) and/or Azure- Knowledge of cloud services : Cloud Run, Cloud Functions, App Engine, Azure Functions, etc.- Familiarity with cloud storage, databases, and networkingDevOps & CI/CD (Required) : - Strong CI/CD experience (GitHub Actions, GitLab CI, Azure DevOps, Cloud Build)- Docker containerization and orchestration- Infrastructure as Code (Terraform, Ansible, or similar)- Monitoring and logging tools (Prometheus, Grafana, Cloud Monitoring)Required Qualifications : Core Competencies : - Proven track record of building and deploying GenAI applications- Ability to architect end-to-end GenAI solutions with safety and quality in mind- Strong problem-solving and debugging skills- Experience with version control (Git) and collaborative development- Understanding of security best practices and AI safety protocols- Commitment to building responsible and ethical AI applicationsSoft Skills : - Deep passion for Generative AI and emerging technologies- Self-driven learner who stays current with GenAI advancements- Strong communication skills to explain technical concepts- Ability to work independently and as part of a team- Proactive mindset with attention to detail- Awareness of AI ethics and responsible developmentNice to Have : - Experience with fine-tuning LLMs or custom model training- Knowledge of LLMOps best practices- Familiarity with streaming responses and websockets- Experience with multimodal AI (vision, audio, text)- Contributions to open-source GenAI projects- Knowledge of cost optimization strategies for LLM APIs- Experience with Kubernetes and service mesh architectures- Familiarity with compliance standards (GDPR, AI regulations, etc.)- Knowledge of red-teaming and adversarial testing for AI systems- Understanding of explainable AI (XAI) techniquesExample Projects You Might Build : - AI-powered translation tools with context awareness and safety filters- Image search systems using multimodal embeddings with content moderation- Intelligent chatbots with RAG capabilities and guardrails- Custom MCP tools for AI workflows with quality controls- Multi-agent systems for complex task automation with safety mechanisms- Document analysis and question-answering systems with output validationEducation : - Bachelor's degree in Computer Science, Software Engineering, or related field- Relevant certifications in cloud platforms (GCP, Azure) are a plus- Demonstrable portfolio of GenAI projects showcasing safety-aware developmen (ref:hirist.tech)