
Senior AI SDLC Engineer
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Oregon.
• Create and develop agentic workflows that streamline the software development lifecycle activities, from code generation and review to testing and release.
• Enhance context-grounding systems to ensure agents retrieve the correct information on the initial attempt.
• Optimize model routing to align tasks with appropriate models while keeping cost efficiency in mind.
• Develop observability and quality tools, including dashboards, usage analytics, and benchmark suites.
• Set internal benchmarks based on real-world tasks such as bug detection, review quality, and latency metrics.
• Collaborate with engineering teams to identify workflow bottlenecks and create automated, agent-driven functionalities.
• Contribute to the ethical and effective integration of AI across the organization.
• Over 5 years of experience in backend/platform engineering, preferably with production Kubernetes systems.
• Practical experience in building or managing LLM-agent infrastructure, including harnesses, tool-integration protocols, or subagent orchestration.
• Strong grasp of LLM application mechanics, encompassing context windows, prompt design, caching, and reasoning/latency trade-offs.
• Demonstrated experience leveraging AI technologies to improve decision-making, streamline workflows and processes, enhance efficiency, and drive business outcomes.
• Ability to work comfortably with vague and evolving specifications.
• Proficiency in Go and/or Python.
• Experience in developing internal developer platforms, observability tools, or cost/governance dashboards.
• Familiarity with modern AI coding agent frameworks or SDKs.
• Knowledge of graph-based context systems, including knowledge graphs and entity resolution that support LLM applications.
• Experience in instrumenting or optimizing large-scale event pipelines.
• Previous involvement in executing a benchmark-driven optimization program, including A/B testing and Pareto-frontier tracking for a production system.
• Must periodically undergo and successfully complete additional background and fingerprint checks as required by government clients.
• Leader in compensation and equity awards in the market.
• Comprehensive wellness programs for physical and mental health.
• Competitive vacation and holiday policies for personal recharge.
• Paid parental and adoption leave policies.
• Opportunities for professional development available to all employees, regardless of their level or role.
• Employee Networks, geographic neighborhood groups, and volunteering opportunities to foster connections.
• Dynamic office culture with top-notch amenities.
• Eligibility for bonuses.
• Equity grants.
• Health insurance coverage.
• 401k retirement plan.
• Paid time off.
Mercor
Mercor
Mercor
Mercor
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