Senior Gen AI Engineer

JOB DESCRIPTIONAs a Senior Generative AI Engineer, you will lead the design, development, and deployment of production-grade AI solutions. You aren't just building prototypes; you are architecting scalable RAG systems, fine-tuning models for specific domain expertise, and ensuring that GenAI capabilities integrate seamlessly into enterprise-level applications.

Key Responsibilities

LLM Orchestration: Design and deploy sophisticated LLM-based applications using frameworks such as LangChain, LlamaIndex, or Semantic Kernel.Model Optimization: Lead the fine-tuning of open-source and proprietary models to improve performance, latency, and cost-efficiency.Advanced RAG Systems: Architect and optimize Retrieval-Augmented Generation (RAG) pipelines utilizing vector databases like Pinecone, FAISS, Weaviate, or Azure AI Search.Scalable Deployment: Containerize services using Docker and deploy via FastAPI and Azure Functions to ensure high availability and low latency.Productization: Build and scale enterprise-grade chatbots, copilots, and automated content generation tools using OpenAI/Azure OpenAI and Hugging Face.Prompt Engineering: Implement and manage advanced prompt optimization and versioning workflows to enhance model accuracy.Monitoring & Evaluation: Establish robust evaluation frameworks (e.g., RAGAS, TruLens) to track model performance, hallucination rates, and drift in production.Operationalization: Collaborate with cross-functional teams (Product, DevOps, Data) to identify high-impact use cases and move them from POC to production.Best Practices: Set the standard for GenAI engineering, including model selection criteria, performance tracking, and ethical AI safeguards.Key Qualifications & SkillsTechnical Stack: Deep proficiency in Python and GenAI frameworks (LangChain, LlamaIndex).Vector Infrastructure: Hands-on experience with vector indexing, semantic search, and hybrid search strategies.Cloud Proficiency: Strong experience with Azure (Azure OpenAI, Azure Functions, Azure DevOps) or similar cloud ecosystems.Deployment: Experience with CI/CD for AI, MLOps, and containerization.Problem Solving: A proven track record of solving complex "hallucination" and data grounding issues in production environments.Why Join Straive?You will be part of a global footprint spanning 30+ countries, working with a team that is at the forefront of the AI revolution. At Straive, your work directly translates into measurable ROI for the world's leading brandsRecognition & AchievementsWe have been recognized as a Star Performer in Data & AI Services Specialists - Everest's North America PEAK Matrix 2025, and as a Leader in AIM's PeMa Quadrant of Agentic AI Service Providers - 2025.In Nov 2023, Straive acquired Gramener, an award-winning, design-led data science company, enhancing our data, analytics, and AI capabilities. In June 2025, we acquired SG Analytics, a leading provider of AI-powered insights and contextual analytics services.For more information, please visit our Website: https://www.straive.com/Equal Opportunity EmployerStraive is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.