Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Architect and build production-grade autonomous AI workflows involving multi-agent systems with complex state management and agent-to-agent communication.
Lead engineering of data pipelines for real-time context injection; bridge data engineering and AI teams to ensure operational readiness of agent systems.
Define and enforce technical standards, lead roadmap for agentic AI architecture, and prototype innovative autonomous AI solutions.
Minimum Requirements
7+ years technical experience in Software Engineering, Data Engineering, or Machine Learning.
2+ years experience building and deploying LLM-based applications or Agentic Systems in production.
Proficiency with cloud infrastructure and container orchestration (AWS/GCP/Azure, Kubernetes, Docker) and advanced Python programming skills.
Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field.
Ideal Candidate Profile
Experienced architect capable of designing scalable, stateful multi-agent AI systems integrating complex messaging and memory management.
Comfortable operating at the intersection of software engineering, data engineering, and machine learning, especially with vector databases and LLM frameworks.
Proven technical leader able to translate strategic AI roadmap into hands-on deliverables, mentor engineers, and foster innovation in autonomous agentic applications.