Lead AI Engineer

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, it's 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