Agentic AI & Process Automation Engineer

Job description

You will architect and implement autonomous AI agents that handle complex, multi-step business workflows. This role sits at the intersection of LLM engineering and software automation, requiring deep understanding of agent frameworks and orchestration patterns. WorkSprout is a deep-tech engineering and design partner across twelve practice areas — TinyML & Edge AI, Custom AI Development, AI Automation & Agents, Data Engineering & Collection, IoT Solutions, Hardware Prototyping, Robotics & Automation, 3D Design & Modeling, Software Development, Growth & DevOps, Branding & Creative Design, and Startup & Product Launch. We deliver systems that work in production, not just in demos. Office hours 09:00 – 18:00 BST, Monday to Friday; hybrid in Dhaka, Bangladesh. Applications are reviewed on a rolling basis. To apply, email careers@worksprout.us with the subject "Agentic AI & Process Automation Engineer".

Responsibilities

• Design multi-agent systems using CrewAI, AutoGen, or LangGraph
• Build process automation pipelines that reduce manual workload across departments
• Integrate agents with external tools, APIs, and databases via function calling
• Implement agent memory, planning, and reflection mechanisms
• Monitor agent performance, failure modes, and safety guardrails
• Document agent architectures and handoff protocols for engineering teams

Requirements

• 3+ years of Python development experience
• Hands-on experience with LLM agent frameworks (LangChain, CrewAI, AutoGen)
• Strong grasp of tool use, function calling, and structured output parsing
• Experience with workflow orchestration (Prefect, Airflow, or similar)
• Knowledge of API design and webhook-based integration
• Nice to have: Experience with robotic process automation (RPA) tools
• Nice to have: Familiarity with business process modelling (BPMN)
• Nice to have: Knowledge of safety evaluation for agentic systems

Benefits

• Lead cutting-edge agentic AI projects from design to deployment
• Competitive salary benchmarked to international rates
• Flexible hybrid work arrangement
• Access to enterprise AI tooling and infrastructure
• Regular knowledge-sharing sessions with the AI research community