Senior Software Engineer ( AI/ML)

Job description

Senior Software Engineer (AI/ML) About the Role We are looking for a highly skilled Senior Software Engineer (AI/ML) to join our engineering team. In this role, you will design, develop, deploy, and maintain AI/ML-powered applications and intelligent systems that solve complex business problems. You will work across the end-to-end machine learning lifecycle—from data preparation and model development to deployment, monitoring, and continuous optimization—while collaborating with cross-functional teams to build scalable, production-ready AI solutions. You will leverage modern AI frameworks, foundation models, and software engineering best practices to deliver innovative, reliable, and secure AI applications. Key Responsibilities • Design, develop, test, deploy, and maintain AI/ML-driven applications and services. • Build and productionize machine learning models, Generative AI applications, and intelligent automation solutions. • Develop scalable APIs and backend services to integrate AI capabilities into enterprise applications. • Work across the complete ML lifecycle, including data engineering, feature engineering, model training, evaluation, deployment, monitoring, and retraining. • Leverage Large Language Models (LLMs), foundation models, and Retrieval-Augmented Generation (RAG) techniques to build enterprise AI solutions. • Optimize model performance, scalability, reliability, and cost for production environments. • Build and maintain MLOps pipelines for automated model training, deployment, versioning, and monitoring. • Collaborate with Product Managers, Data Scientists, Software Engineers, and business stakeholders to define technical solutions and deliver high-quality products. • Apply software engineering best practices, including code reviews, automated testing, CI/CD, and secure coding standards. • Mentor junior engineers and contribute to architecture discussions, technical decisions, and engineering excellence. • Stay current with advancements in AI/ML, Generative AI, and cloud-native technologies, recommending new approaches where appropriate. Required Skills & Qualifications • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. • 8+ years of software engineering experience, with significant hands-on experience in AI/ML development. • Strong programming skills in Python and experience with software engineering best practices. • Hands-on experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. • Experience with Generative AI technologies, including Large Language Models (LLMs) and AI application frameworks such as LangChain, LlamaIndex, or similar. • Experience working with Hugging Face models and transformers. • Strong understanding of classical machine learning algorithms, deep learning, NLP, and model evaluation techniques. • Experience building REST APIs and microservices using frameworks such as FastAPI, Flask, or similar. • Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform. • Experience with containerization and orchestration technologies such as Docker and Kubernetes. • Good understanding of MLOps concepts, model versioning, monitoring, and CI/CD pipelines. • Experience with databases such as PostgreSQL, MongoDB, or vector databases (e.g., Pinecone, Weaviate, ChromaDB) is an advantage. • Strong understanding of distributed systems, scalability, and performance optimization. • Excellent analytical, problem-solving, and communication skills. Preferred Qualifications • Experience building enterprise-scale AI/ML platforms or products. • Hands-on experience with Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, and agentic AI frameworks. • Experience with ML orchestration tools such as MLflow, Kubeflow, Airflow, or Azure ML. • Familiarity with Responsible AI, AI governance, model explainability, and security best practices. • Experience working in Agile/Scrum environments. • AI/ML or cloud certifications are a plus. What We're Looking For • Passion for solving complex business problems using AI and Machine Learning. • Strong ownership and accountability for delivering production-ready solutions. • Ability to lead technical initiatives and mentor engineering teams. • A continuous learner who stays updated with the latest AI technologies and industry trends. • Excellent collaboration skills with the a