Senior AI Engineer

• Design, develop, and maintain scalable, reliable, and high-performance services and applications for AI-driven platforms.
• Apply and experiment with AI/ML technologies, including large language models (LLMs), agentic AI, and retrieval-augmented generation (RAG) pipelines.
• Build and integrate robust RESTful APIs with a strong focus on security, data consistency, and maintainability.
• Design and implement components such as vector stores, semantic search, AI agents, orchestration workflows, and evaluation frameworks where applicable.
• Collaborate with cross-functional teams (AI/ML engineers, product managers, architects, and cloud engineers) to deliver end-to-end features aligned with product roadmaps.
• Mentor and guide engineers through technical planning, design reviews, implementation, and best practices.
• Identify, diagnose, and resolve system performance and reliability issues across distributed systems.
• Write unit and integration tests, participate in code reviews, and uphold engineering excellence.
• Stay current with emerging trends in AI/ML, cloud-native architectures, and enterprise-scale AI systems.

• Bachelor's degree in Computer Science, Engineering, or an equivalent field from a recognized institution.
• 4+ years of experience in backend services, distributed systems, or data platform development.
• Strong proficiency in Java, Go, or Python for service and platform development.
• Solid understanding of distributed system design principles, scalability, and cloud-native architectures.
• Hands-on experience working with SQL and NoSQL data stores and designing efficient data access patterns.

• Experience with LLMs, embeddings, vector databases, and AI orchestration frameworks.
• Exposure to agentic AI patterns such as tool calling, planning, memory, and multi-step reasoning.
• Experience building or operating AI systems in cloud environments (AWS, Azure, or GCP).
• Familiarity with Kubernetes, Docker, CI/CD pipelines, and production-grade observability.

Teradata