Senior Software Development Engineer

Qapita; Hyderabad; On-site; INR 2,385,496 - 3,816,794; Full time

Job summary

Qapita is seeking an experienced professional based in Hyderabad to lead the design and implementation of AI agent systems. The role involves driving innovation in agentic AI architectures and overseeing model lifecycle processes to ensure effective AI solutions.

The successful candidate will collaborate with cross-functional teams, address complex AI challenges, and contribute to Agile workflows. This position offers an opportunity to work at the forefront of AI technology.

Responsibilities

• Drive the design and implementation of AI agent systems, ensuring scalability and reliability.
• Develop and optimise agent-based architectures for dynamic, context-aware solutions.
• Oversee model lifecycle processes, including fine-tuning and deployment pipelines.
• Partner with product, engineering, and operations teams to align AI solutions with business objectives.
• Address complex AI challenges to deliver safe and effective solutions.
• Contribute to Agile workflows, including sprint planning and iterative delivery.

Job description

Responsibilities

• Technical Leadership: Drive the design and implementation of AI agent systems, ensuring scalability, reliability, and adherence to best practices.
• Innovation in Agentic AI: Develop and optimise agent-based architectures leveraging MCP, A2A, and ACP patterns for dynamic, context-aware solutions.
• MLOps / LLMOps Management: Oversee model lifecycle processes, including fine-tuning, prompt management, and deployment pipelines, ensuring robust monitoring and governance.
• Cross-Functional Collaboration: Partner with product, engineering, and operations teams to align AI solutions with business objectives.
• Problem-Solving: Address complex AI challenges, including retrieval-augmented generation, context engineering, and guardrailing, to deliver safe and effective solutions.
• Agile Practices: Contribute to Agile workflows, including sprint planning, backlog refinement, and iterative delivery of AI features.