< p> < strong> Who We re Looking For:< /strong> < /p> < p> 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 prospect 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.< /p> < h3> What You ll Do:< /h3> < ul> < li> 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.< /li> < li> 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.< /li> < li> 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).< /li> < li> 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.< /li> < li> 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.< /li> < li> 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.< /li> < li> 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.< /li> < li> 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.< /li> < li> 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.< /li> < li> Performance Tuning MLOps: Apply best-in-class techniques for model performance, hyperparameter optimization, scalable retraining, monitoring, and CI/CD for AI pipelines.< /li> < li> Research, Innovation Thought Leadership:



Stay at the cutting edge with constant exploration of new AI technologies transforming foundational research into impactful product features.< /li> < li> Standards Advocacy: Champion software engineering excellence driving best practices in secure coding, peer review, and responsible AI design throughout the full SDLC.< /li> < /ul> < p> < strong> What You ll Bring:< /strong> < /p> < ul> < li> Bachelor s, Master s, or PhD in Computer Science, Engineering, Machine Learning, or related field.< /li> < li> 6+ years in software engineering with a minimum of 2+ years hands-on building, deploying, and optimizing AI/ML applications at enterprise scale.< /li> < li> Deep expertise in AI/ML model development (NLP, Deep Learning, LLMs, Recommender Systems, Generative AI) and their deployment in cloud production environments.< /li> < li> 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).< /li> < li> Strong foundation in system architecture, algorithm design, scalable data engineering (ETL, batch stream processing), and model serving.< /li> < li> Experience with modern MLOps, CI/CD, GitOps, and DevSecOps methodologies.< /li> < li> Commitment to ethical, responsible AI deep understanding of privacy, explainability, bias, and regulatory considerations.< /li> < li> Prior experience in HR tech, SaaS, or enterprise software highly advantageous.< /li> < /ul>

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📌 Principal AI Engineer (Hyderabad)
🏢 Cornerstone India
📍 Hyderabad