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Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, deployment, and maintenance of AI-powered platforms and LLM-based agentic applications.
Define and implement engineering best practices, quality governance, and Responsible AI controls for customer-facing AI solutions.
Collaborate cross-functionally to deliver scalable, secure AI services enhancing customer experience and business impact.
Minimum Requirements
Bachelor’s degree in Computer Science, Software Engineering, or Data Science.
6+ years in full software development lifecycle with coding standards and testing.
3+ years building LLM-powered applications and 3+ years developing/deploying ML models.
Experience with Python or Java programming and cloud platforms like AWS, Azure, or GCP.
Ideal Candidate Profile
Experienced in designing distributed, microservices-based AI platforms with strong backend API programming skills.
Proven expertise with LLMs, agent frameworks, Model Context Protocol, multi-agent workflows, and vector database-based retrieval architectures.
Able to lead architectural decisions and collaborate with product, security, and engineering leadership in fast-paced environments.