Senior Artificial Intelligence Engineer

About the Role

We are seeking a Senior AI Engineer with 4-8 years of experience to design, develop, and deploy production-grade AI solutions at scale. The ideal candidate will possess strong hands-on expertise in Python and Generative AI, complemented by a robust foundation in Machine Learning, Deep Learning, Natural Language Processing (NLP), and Transformer-based architectures.

This is a highly hands-on role that requires operating as a strong individual contributor while also demonstrating the ability to lead at a solution level. The individual will collaborate closely with CPOs and senior stakeholders to translate complex business requirements into scalable, high-impact technical solutions.

The role involves end-to-end ownership of features and solutions from problem definition and model development through to API design, cloud deployment, and performance optimizationensuring delivery of secure, scalable, and enterprise-grade AI systems.

What you’ll do

• Design, develop, and deploy scalable AI/ML and Generative AI solutions.
• Translate business problems into AI architectures and technical solutions.
• Own end-to-end delivery including development, APIs, deployment, and scaling.
• Build and integrate AI models into production systems using APIs.
• Optimize performance and scalability for high-volume workloads.
• Implement cloud-native AI solutions using Microsoft Azure.
• Ensure CI/CD, monitoring, and best practices in deployment.
• Collaborate with product teams and stakeholders.
• Engage with senior stakeholders to drive alignment.
• Mentor junior engineers and support team growth.

Skills Required – Essential

• Strong proficiency in Python and AI/ML ecosystem.
• Hands-on experience with Generative AI (LLMs, RAG, prompt engineering).
• Strong foundation in Machine Learning and Deep Learning.
• Experience with NLP and Transformer architectures.
• Experience building production-grade APIs and scalable services.
• Performance optimization and scaling of high-volume systems.
• Experience with Microsoft Azure services.
• Production deployment, monitoring, and CI/CD experience.

Skills Required – Preferred

• Experience with Agentic AI systems and multi-agent workflows.
• Familiarity with LangChain, LlamaIndex, Semantic Kernel, AutoGen.
• Experience with vector databases (Pinecone, FAISS, Azure AI Search).
• Knowledge of MLOps / LLMOps.
• Experience with Docker and Kubernetes.
• Exposure to Azure OpenAI, Azure ML, serverless architectures.
• Agile/Scrum experience.

Soft Skills & Behavioral Competencies

• Strong communication and articulation skills.
• Ability to explain complex concepts to diverse audiences.
• Ownership mindset and accountability.
• Leadership and mentoring capability.
• Strong analytical and problem-solving skills.
• Ability to work independently and collaboratively.

Education and Experience

• Bachelor’s or Master’s degree in relevant field.
• 4–8 years of experience in AI / software engineering.
• Proven experience delivering production-grade AI/ML solutions.
• Experience in enterprise environments is a plus