Job: Full Stack LLM Developmen · Bengaluru

Job: Full Stack LLM Development Senior Manager Job Number: R00329501 Posted within last 24 hours is a delivery-focused opportunity based in Bengaluru, India.

Job: Full Stack LLM Development Senior Manager Job Number: R00329501 Posted within last 24 hours Job description We Are: We are at the forefront of a new era in enterprise AI — one defined not by model capability alone, but by the infrastructure, memory systems, and routing intelligence required to make autonomous AI agents trustworthy and commercially viable at scale. Our Data & AI practice brings together more than 45,000 professionals helping clients design, deploy, and govern AI syste

Key Responsibilities

• Job: Full Stack LLM Development Senior Manager Job Number: R00329501 Posted within last 24 hours Job description We Are: We are at the forefront of a new era in enterprise AI — one defined not by model capability alone, but by the infrastructure, memory systems, and routing intelligence required to make autonomous AI agents trustworthy and commercially viable at scale
• Our Data & AI practice brings together more than 45,000 professionals helping clients design, deploy, and govern AI syste
• Design, build, and improve software systems that support the goals of the Job: Full Stack LLM Development Manager Job Number: R00329501 Posted within last 24 hours function.
• Translate product or business requirements into clean, maintainable technical solutions.
• Write high-quality code with appropriate testing, code review, and documentation discipline.
• Collaborate with product, design, QA, and peer engineers to deliver reliable releases.
• Investigate bugs, performance issues, and production risks with a strong root-cause mindset.
• Improve system reliability, observability, and maintainability through thoughtful engineering decisions.
• Contribute to architecture and implementation discussions with pragmatic technical trade-offs.
• Break down complex work into clear milestones and communicate status transparently.
• Refactor and simplify existing code where it improves long-term velocity and quality.
• Support release readiness by validating edge cases, dependencies, and rollback considerations.

Preferred Qualifications

• Bachelor's degree or equivalent practical experience in computer science, engineering, or a related field.
• Strong coding fundamentals with attention to reliability, performance, and maintainability.
• Experience working with code reviews, testing practices, and collaborative delivery workflows.
• Ability to break down ambiguous problems into clear technical solutions.
• Comfort partnering with cross-functional teams in iterative product or platform environments.
• Strong debugging, communication, and ownership skills across the software lifecycle.

Applications should be submitted through the listed apply link.