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 execution

• Programming 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, Git

• Hands-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.