AI Workflow Automation Specialist

2 days ago

Hyderabad, Telangana, India beBeeAgentic Full time US$ 2,00,000 - US$ 3,50,000
Staff Software Engineer

Transform how we work with AI-enhanced technology.

Key Responsibilities:
  • Lead the design and engineering of next-generation AI agentic workflows in our Global Cloud Services OODP, Observability, and Ops Data Platform Team.
  • Drive the strategy, architecture, and execution of AI-driven workflows, shaping how autonomous and semi-autonomous agents orchestrate tasks across complex systems.
  • Partner closely with product managers, architects, customers, and engineering teams to deliver robust, human-aligned, and production-ready agentic workflows that power the future of observability.

Collaborate with UX engineers, product managers, and domain experts to ensure workflows are human-centered, safe, and transparent. Build integrations with observability platforms, APIs, and other data sources. Apply RAG, Retrieval-Augmented Generation, structured knowledge grounding, and guardrails to ensure accuracy and reliability of AI-driven workflows.

Establish best practices for end-to-end development, including design, implementation, testing, CI/CD automation, monitoring, and logging of agentic workflows. Mentor engineering teams in agentic workflow design patterns and share expertise in LLM orchestration at scale. Partner with research and data science teams to evaluate LLM models, optimize prompting strategies, and measure workflow efficiency, reliability, and trust. Drive continuous improvement by identifying opportunities for automation, optimization, and AI-first redesign of existing processes.

Qualifications: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving; Proven experience designing and deploying LLM-powered workflows or AI agents in production environments; Strong expertise in agentic AI orchestration frameworks and familiarity with planner-executor and multi-agent architectures; 8 years of software engineering experience with a focus on workflow automation, backend development, distributed systems, Java, Python, and REST APIs backed by strong computer science fundamentals in data structures, algorithms, and software design; Strong data background with RDBMS and TSDB, and proficiency in analytical SQL and PromQL queries; Expertise in CI/CD pipelines, containerization, Kubernetes, Docker, and cloud-native deployment for AI-driven services; Excellent troubleshooting, debugging, and performance optimization skills for complex workflows and distributed agents; Strong collaboration and cross-functional communication skills to work with UX, product, and AI research teams; Strong statistical background with ability to design scalable, robust, and efficient ML systems that integrate with the full tech stack.

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