AI Engineering Lead

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Blend360

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

🏨 Hospitality

✈️ Travel

💰 $100M Private Equity Round on 2022-08

Healthcare • Hospitality • Travel

Blend360 is a professional services company specializing in AI, data analytics, and data-driven solutions. They work with Fortune 1000 and large enterprise brands to tackle significant challenges by integrating people and artificial intelligence. Blend360 focuses on several domains including business intelligence, data engineering, data science, MLOps, and data governance. Their industries of expertise encompass financial services, energy, healthcare and life sciences, retail, technology, media & telecom, and travel & hospitality. Blend360 is recognized for their AI and data solutions, having earned accolades such as "AI-Enabling Solution of the Year" and being listed among the "Top Generative AI Service Providers 2024.

📋 Description

• Lead end-to-end project delivery with clear governance and strong stakeholder communication • Mentor junior engineers and contribute to proposals and new business initiatives • Define appropriate AI system capabilities and communicate risks and tradeoffs transparently to clients • Design and build production-ready RAG systems, agentic frameworks and LLM-powered solutions • Apply advanced prompt engineering techniques, including instruction design, few-shot sets, structured outputs and tool/agent prompts • Lead feasibility assessments across prompting, RAG, fine-tuning and classical ML approaches • Design evaluation frameworks using LLM-as-a-judge methods, custom metrics and go/no-go gates • Run structured experiments across prompts, retrievers, chunking strategies and models • Identify and categorize model failure modes, including hallucinations, retrieval misses and instruction-following errors • Build scalable inference infrastructure and CI/CD pipelines for AI/ML models • Automate the MLOps/LLMOps lifecycle, including tracking, versioning, deployment, monitoring and retraining • Design APIs, microservices and orchestration layers optimized for latency, cost and reliability

🎯 Requirements

• Expert-level Python • Strong Git practices • Experience with ML/LLM versioning • Solid cloud experience with AWS, Azure or GCP; Azure preferred • Containerization and orchestration experience • Hands-on RAG experience covering chunking, embeddings, retrieval, reranking and evaluation • Proven MLOps/LLMOps experience using MLflow, Weights & Biases or similar tools • Practical evaluation design skills, including metrics, dataset curation and structured experimentation • Experience with event-driven architectures, APIs and microservices • Strong communication skills with engineering teams and senior stakeholders • English proficiency at an advanced level, required for effective communication with global teams • 6+ years of experience building and deploying AI solutions in production environments • Preferred experience with Databricks MLOps, LLM fine-tuning, agentic GenAI systems, Infrastructure as Code, AI-service security and observability, classical ML and open-source contributions

🏖️ Benefits

• Every day lunches at headquarters, with vegetarian, vegan, gluten-free and sugar-free options • Gourmet meals every Friday with an on-site chef • Flexible working options • MacBook and accessories • Snacks and beverages available every day at headquarters • After-office events, football, tennis and game nights at headquarters • Football league every Wednesday and Friday • Pool games and office trophy challenges • Tennis courts • Chess championships, game nights and music nights • AWS certifications • Study plans, courses and other certifications • English lessons • Tech Tuesdays learning opportunities • Mentoring and development opportunities • Anniversary and birthday gifts