Senior Software Engineer ( AI/ML)

Job description

Senior Software Engineer – AI/ML About the Role We are looking for a Senior Software Engineer – AI/ML with strong hands-on experience in Artificial Intelligence and Machine Learning, particularly in designing and developing complex, production-level AI/ML solutions. The ideal candidate should have practical experience taking AI/ML solutions from concept or prototype through to production deployment, with a strong understanding of model integration, AI/ML workflows, scalability, performance, and reliability. Experience in API development and software engineering is also required, but this will be a secondary focus compared to hands-on AI/ML expertise. Key Responsibilities • Design, develop, deploy, and maintain production-grade AI/ML solutions for complex business and technical use cases. • Develop and implement AI/ML solutions using appropriate models, frameworks, tools, and technologies. • Work with Generative AI, Large Language Models (LLMs), and AI/ML applications where applicable. • Develop solutions involving RAG, embeddings, vector databases, prompt engineering, model integration, and AI workflows. • Build and integrate AI/ML capabilities into enterprise applications and existing technology ecosystems. • Evaluate and optimize AI/ML solutions for accuracy, performance, scalability, reliability, and cost. • Work with large and complex datasets and apply appropriate machine learning techniques to solve real-world problems. • Develop and maintain REST APIs and services to expose and integrate AI/ML capabilities with enterprise applications. • Integrate AI/ML solutions with databases, external services, enterprise applications, and other data sources. • Write clean, maintainable, testable, and production-ready code. • Participate in architecture discussions, code reviews, testing, CI/CD, deployment, and production support. • Troubleshoot and resolve issues related to AI/ML models, applications, integrations, and production environments. • Collaborate with engineering, product, architecture, and business teams to deliver scalable AI/ML solutions. • Contribute to technical standards, best practices, and continuous improvement of AI/ML engineering processes. Required Skills & Qualifications • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. • Strong professional experience in AI/ML engineering, with proven hands-on experience building and deploying production-level AI/ML solutions. • Experience working on complex, real-world AI/ML use cases rather than only prototypes, POCs, or academic projects. • Strong programming skills in Python. Experience with Java, C#, or TypeScript is an added advantage. • Strong understanding of machine learning concepts, algorithms, model development, evaluation, and deployment. • Hands-on experience with relevant AI/ML frameworks and libraries such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, or similar. • Experience with Generative AI and LLM-based applications is preferred. • Experience with concepts such as RAG, embeddings, vector search, prompt engineering, LLM integration, and model evaluation is an advantage. • Experience developing and integrating REST APIs using frameworks such as FastAPI, Flask, Spring Boot, .NET, or similar. • Understanding of software engineering principles, application architecture, scalability, and performance. • Experience working with cloud platforms such as Azure, AWS, or GCP. • Experience with databases such as PostgreSQL, MongoDB, or other relational/NoSQL databases. • Familiarity with Docker, Kubernetes, CI/CD, automated testing, and production deployment practices is preferred. • Strong problem-solving, analytical, and communication skills. Preferred Qualifications • Experience building and deploying enterprise-scale AI/ML applications. • Experience with Generative AI, LLMs, and Agentic AI solutions. • Experience with frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar. • Experience with AI agents, tool/function calling, workflow orchestration, and multi-step AI workflows. • Familiarity with MCP, AI guardrails, LLM evaluation, AI observability, and Responsible AI. • Experience integrating AI/ML solutions with enterprise APIs, databases, and business applications. • Experience with AI/ML model optimization, monitoring, and production support. • Cloud or AI/ML certifications are a plus. What We're Looking For We are primarily looking for a strong hands-on AI/ML engineer who has experience solving complex, production-level AI/ML problems and delivering reliable solutions in an enterprise environment. The ideal candidate should be comfortable working across the AI/ML lifecycle — from understanding the business problem and developing the solution to deployment, optimization, monitoring, and production support. Experience in API development and broader software enginee