Designs and develops architectures for agentic AI systems using modern LLM frameworks, MLs, APIs GENAI, and other automation tools to address business needs
Engineers relevant features to improve AI solution accuracy and performance – development
Uses multi-agent collaboration frameworks for complex business workflows
Integrates AI agents to enterprise systems, APIs, and external apps using AI orchestration tools
A senior technical leadership role focused on designing and building production-grade Generative AI, RAG, and Agentic AI systems while working directly with stakeholders to deliver solutions.
Locations (2)
Hyderabad, Telangana, India
Bangalore, Karnataka, India
Responsibilities
Work directly with business and technical stakeholders to identify high-value AI use cases and convert ambiguous requirements into production-ready solutions.
Design and build Generative AI, Retrieval-Augmented Generation (RAG), Advanced RAG, and Agentic AI applications.
Build single-agent and multi-agent systems with planning, reasoning, tool calling, workflow orchestration, state management, memory, retries, exception handling, and human-in-the-loop approvals.
Develop and integrate Model Context Protocol (MCP) servers and clients to securely connect AI agents with enterprise tools, APIs, data sources, and workflows.
Test engineer focused on APIs and communication protocols for Axis Camera Station Pro, involving manual and automated testing, test environment setup, and process improvement.
Responsibilities
Plan and execute short term manual test needs based on new functionality
Develop automated tests for the technical area
Participate in release testing for the complete solution
Lead the work to set up and maintain good test environments for both automated and manual testing
Participate in improvement work related to working methods, test strategy, automation, and test environments
Requirements
Master's or Bachelor's degree in Computer Science or equivalent
Lead the DevOps backbone for clinical data products, ensuring data assembly, transformation, and publication to CDISC standards and risk‑based monitoring.
Responsibilities
Operate, improve, and scale data solutions for clinical trials
Ensure adherence to IRT and IT standards
Monitor and drive system change requests
Advise study teams on data product design
Own day‑to‑day application operations
Requirements
Bachelor's or master's degree in computer science or life science