Lead AI Engineer

Job Description

Opkey , we are disrupting the space of ERP transformation testing by building an AI-powered No Code Testing platform for Enterprise business applications (like Oracle Fusion Cloud, SAP S4Hana, SAP, Workday, Salesforce, and the likes). Opkey is a fast-growing VC-backed continuous end-to-end test automation software company headquartered in Dublin, California, with additional offices in Pittsburgh (opened in 2022), NYC (opened in 2022), & India (Noida & Bangalore). With the test automation market growing 20% annually, its estimated to reach $50 billion by 2026. Trusted by 250+ enterprise customers, including GAP, Pfizer, and KPMG. We are seeking a highly skilled Lead AI Engineer with 8+ years of experience, preferably from SaaS and product-based companies, to drive our AI initiatives from ideation to deployment. You will work closely with cross-functional teams to design, develop, and scale innovative AI solutions that power our next-generation platforms. Key Responsibilities: Architect, build, and deploy AI/ML models for SaaS products at scale. Lead the end-to-end lifecycle of AI projects from data exploration, model development, validation, and deployment, to monitoring and maintenance. Collaborate with Product Management, Engineering, and Design teams to integrate AI capabilities into product offerings. Implement and optimize Retrieval-Augmented Generation (RAG) systems, Large Language Models (LLMs), and other emerging AI/ML techniques. Define and uphold best practices in AI model development, MLOps, and scalable deployment. Mentor and guide a team of AI/ML engineers, setting technical direction and fostering a culture of innovation and excellence. Partner with stakeholders to define AI strategies aligned with overall technology roadmaps and business objectives. Stay abreast of advancements in AI and contribute thought leadership internally and externally. Required Skills & Experience: 10-12 years of experience in AI/ML engineering, with a strong record of working in SaaS and product-based environments. Expertise in Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and/or Generative AI. Hands-on experience with frameworks like TensorFlow, PyTorch, Hugging Face Transformers, etc. Solid experience in designing scalable AI architectures and deploying models in production environments (AWS, GCP, Azure, etc.). Strong programming skills in Python; familiarity with other languages like Java, Go, or Scala is a plus. Deep understanding of MLOps, CI/CD for machine learning pipelines, containerization (Docker, Kubernetes). Experience with LLM fine-tuning, prompt engineering, vector databases (e.g., Pinecone, FAISS) is highly desirable. [Non-negotiable Requisite] Has experience is having trained a SLM (or Medium Language Model), for a particular vertical. This includes pre-training and fine-tuning. Strong problem-solving skills and ability to navigate ambiguous technical challenges. Excellent communication, leadership, and stakeholder management skills. Preferred Qualifications: Master s or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field. Experience in Go-to-Market Strategy for AI-powered products. Experience integrating AI into customer-facing SaaS products with measurable outcomes. Contributions to open-source AI projects or published research papers