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Tier-1 brand, mid-level generalist title, 3–6 years experience range, and metro location amplify competition.
Specialized AI-agent orchestration and large-scale backend platform skills limit transferability across industries.
Explicit 3+ years and multiple mandatory backend, cloud, and AI stack requirements create strict technical filters.
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Own and build multi-agent execution orchestration and cross-platform execution-caching infrastructure crucial for scaling Pathfinder AI test automation platform.
Lead technical initiatives end-to-end, including design, testing, production rollout, and resolving issues in a system supporting over 1 million end-to-end test executions.
Set technical direction and act as SME on agentic execution systems for a small team solving novel, complex problems in AI-driven autonomous agent orchestration.
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
3+ years experience building cloud-based platforms or services, with 3+ years developing large-scale systems/software using Java and Springboot.
Hands-on experience building AI-enabled systems involving LLM APIs, agentic frameworks, or AI-assisted development tools as a core functionality.
Practical knowledge and experience with microservices, messaging technologies (REST, GraphQL, Kubernetes, Kafka, ActiveMQ), and database systems (SQL and NoSQL).
Experienced builder comfortable operating in ambiguous, fast-moving environments with direct ownership of infrastructure to scale complex AI systems.
Strong system design intuition with ability to prototype rapidly, balance rigor and speed, and independently make calling decisions in novel technical areas without existing reference architectures.
Fluent daily user of AI-assisted development tools integrating AI deeply into software development workflows, with understanding of LLM cost/performance trade-offs and orchestration patterns.