Cornerstone powers the future\-ready workforce with modern, AI\-driven employment solutions. Our platform enables companies to develop, manage, and engage their talent—unlocking growth and innovation across organizations of all sizes.
Cornerstone is seeking a visionary and highly accomplished Distinguished Software Development Engineer to spearhead the creation of groundbreaking AI and machine learning solutions across our industry\-leading workforce agility \- Galaxy ecosystem. This is a rare opportunity for a true innovator—someone who thrives on architecting and hands\-on building intelligent, autonomous systems at massive scale. You’ll be driving the future of workforce technology by delivering AI\-powered applications that are robust, secure, ethical, and brilliantly performant.
1\. Full\-Stack AI Engineering: Lead the hands\-on development, deployment, and continuous improvement of sophisticated AI\-driven features, leveraging Agile practices and top\-tier coding standards.
2\. Advanced Architecture \& System Design: Architect, implement, and scale modern, distributed AI systems—including training pipelines, streaming data processing, serverless microservices, and MLOps infrastructure—to deliver enterprise\-grade reliability and security.
3\. ML Model Innovation: Expertly design, build, and tune production AI/ML models (NLP, Deep Learning, Recommender Systems, LLMs, Generative AI) using cutting\-edge frameworks (TensorFlow, PyTorch, Hugging Face, Keras, Scikit\-Learn, Ray).
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4\. Cloud \& Data Engineering Mastery: Develop and optimize cloud\-native (AWS, GCP, Azure) AI workloads—utilizing Kubernetes, Docker, Spark, and high\-performance data lakes for advanced data wrangling, batch and real\-time inference, and model monitoring.
5\. Agentic \& Generative AI Technologies: Design and deploy intelligent, autonomous AI agents (LLMs, multi\-agent systems) capable of planning, reasoning, and decision\-making—solving complex HR and talent management challenges with next\-gen AI.
6\. Orchestration \& Tooling: Build frameworks for multi\-agent orchestration, message passing, prompt engineering, vector databases (FAISS, Pinecone), and scalable knowledge graphs to enable robust agent collaboration and negotiation.
7\. Task Automation \& Workflow AI: Develop specialized AI agents for process automation—streamlining content generation, personalized recommendations, and end\-to\-end workflow optimization using RPA and conversational AI.
8\. Safety, Reliability, \& Explainability: Set gold standards for AI safety, fairness, and explainability—implementing evaluation protocols, guardrails, and bias detection to ensure ethical agent behavior in real\-world deployments.
9\. Seamless Systems Integration: Fuse agentic and generative AI systems with modern APIs, REST/gRPC, user interfaces (React, Angular), microservices, and enterprise data sources for resilient, scalable solutions.
10\. Performance Tuning \& MLOps: Apply best\-in\-class techniques for model performance, hyperparameter optimization, scalable retraining, monitoring, and CI/CD for AI pipelines.
11\. Research, Innovation \& Thought Leadership: Stay at the cutting edge with constant exploration of new AI technologies—transforming foundational research into impactful product features.
12\. Standards Advocacy: Champion software engineering excellence—driving best practices in secure coding, peer review, and responsible AI design throughout the full SDLC.
Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Machine Learning, or related field.
6\+ years in software engineering with a minimum of 2\+ years hands\-on building, deploying, and optimizing AI/ML applications at enterprise scale.
Deep expertise in AI/ML model development (NLP, Deep Learning, LLMs, Recommender Systems, Generative AI) and their deployment in cloud production environments.
Advanced hands\-on proficiency with cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit\-Learn), modern programming languages (Python, Java, Scala, C\+\+), and distributed systems (Kubernetes, Docker, Spark).
Strong foundation in system architecture, algorithm design, scalable data engineering (ETL, batch \& stream processing), and model serving.
Experience with modern MLOps, CI/CD, GitOps, and DevSecOps methodologies.
Commitment to ethical, responsible AI—deep understanding of privacy, explainability, bias, and regulatory considerations.
Prior experience in HR tech, SaaS, or enterprise software highly advantageous.
\#LI\-Onsite
Our mission is to empower people, businesses and communities. A culture created less by what we do and more by who we are. When people ask what our team is about, we point to our core values: champion customer success, bring our best, achieve together, get stuff done, and innovate every day. We're always on the lookout for new, curious and capable people who can help us achieve our goal and we are seeking diversity in the people who join our team. We want to make sure that our company reflects the demographic of our customers, clients, and the communities in which we operate. So if you want to work for a friendly, global, inclusive and innovative company, we'd love to meet you!
Cornerstone is a premier people development company. We believe people can achieve anything when they have the right development and growth opportunities. We offer organizations the technology, content, expertise and specialized focus to help them realize the potential of their people. Featuring comprehensive recruiting, personalized learning, modern training content, development\-driven performance management and holistic employee data management and insights, Cornerstone’s people development solutions are successfully used by more than 100 million\+ people in 180\+ countries and in nearly 50 languages.
Cornerstone takes special care to ensure the security and privacy of the data of its users.
Check us out on LinkedIn, Comparably, Glassdoor, and Facebook!