You will develop scalable AI workflows, integrate autonomous agents into real-world applications, and help translate cutting-edge AI capabilities into reliable business solutions. This position is ideal for engineers who enjoy combining experimentation with disciplined engineering to deliver impactful AI-driven products.
- Design, develop, and deploy production-ready applications leveraging Generative AI and agentic AI frameworks.
- Build intelligent workflows using LLMs, multi-agent coordination, and orchestration pipelines.
- Implement prompt engineering strategies, retrieval-augmented generation (RAG), and contextual memory systems.
- Implement various AI coding techniques (context-driven, spec-driven development etc.).
- Implement and utilize Model Context Protocol (MCP) patterns to enable structured communication between agents, tools, and systems.
- Develop evaluation pipelines to measure accuracy, safety, and performance of AI systems.
- Optimize latency, cost efficiency, and scalability of AI-powered workflows.
- Collaborate with product managers, data teams, and software engineers to deliver AI features.
- Ensure reliability through testing, logging, monitoring, and observability of AI behavior.
- Contribute to architectural decisions, coding standards, and best practices.
- Act as an AI trailblazer for development teams by promoting best practices, reusable patterns, and adopting AI-driven engineering approaches.
- Apply AI governance principles to ensure responsible model usage, auditability, and transparency in AI workflows.
- Research emerging AI tools and frameworks to continuously improve system capabilities.
- Document AI workflows and maintain reproducible engineering processes.
