AI Engineer

About the role:We are seeking an experienced Senior AI Engineer to join our team and drive the development of scalable, production-grade AI solutions. The ideal candidate will combine deep expertise in artificial intelligence and machine learning with strong software engineering fundamentals, particularly in micro-services architecture and multi-language development.Key Responsibilities:Build multi-agent workflows to optimize business processes..Develop and maintain software pipelines for data processing, model training, and deployment using Python-based frameworks.Train, fine-tune, and optimize neural network models, including LLMs, for specific use cases such as risk assessment and customer query resolution.Conduct experiments, perform model evaluation, and iterate on ML solutions to improve performance.Collaborate with data scientists, engineers, and business stakeholders to translate requirements into production-ready AI applications.Ensure AI models adhere to data regulations, data privacy standards (e.g., GDPR, CCPA), and ethical AI practices.Monitor deployed solutions in production, troubleshooting issues, and implement updates as needed.Strong experience delivering production-grade applications, backend services and technical components that support data, workflow, automation or AI-driven solutions.Participate in code reviews, agile ceremonies, and CI/CD processes.Experience and Qualifications:7–12 years of professional experience in AI/ML engineering, with a focus on software development and deployment.Agentic AI – Experience building autonomous AI agents with capabilities including tool use, reasoning, planning, and multi-step task executionProgramming Languages – Advanced proficiency in at least Python and Java.Experience with Spring Boot, microservices frameworks, and concurrent programming.Microservices Architecture – 5+ years of hands-on experience designing and implementing microservices-based systems.Experience with Deep learning frameworks (TensorFlow, PyTorch), data processing (pandas, NumPy), ML libraries (scikit-learn), etc.Build and integrate components for LLM, RAG, search, agent-based and automation solutions,Strong software engineering experience with Python, Java, React Next, Node.js, GitHands-on experience training and fine-tuning neural network models, with a track record of optimizing for performance and scalability.Proven expertise working with LLMs (e.g., GPT, BERT) and building agentic solutions using frameworks like LangChain, LangGraph, or ADK.Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for model deployment and data management.Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.Understanding DevOps practices, containerization (Docker, Kubernetes), and MLOps workflows.Strong communication skills for presenting technical concepts to non-technical stakeholders.