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Staff AI Engineer, Agent Orchestration (Remote - US)

Staff AI Engineer, Agent Orchestration (Remote - US)

JobgetherUS
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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff AI Engineer, Agent Orchestration in United States.

This is a high-impact role for an experienced engineer to lead the development of next-generation agentic systems that bring Generative AI into every stage of the software delivery lifecycle. You will design and scale intelligent tools and orchestration frameworks that empower developers, automate workflows, and enable AI-native engineering practices. By blending full-stack engineering expertise with cutting-edge LLM systems design, you will transform CI / CD, observability, and runtime operations. Working cross-functionally with product, infra, and data teams, you will pioneer automation strategies that accelerate productivity, reduce errors, and build self-healing, insight-driven engineering ecosystems.

Accountabilities

  • Architect and deliver full-stack AI-driven systems using Kotlin, Python, React / TypeScript, and AWS tooling.
  • Operationalize LLMs and agent frameworks to automate the full software lifecycle : requirements parsing, code generation, testing, deployment, and analytics.
  • Develop orchestration patterns for multi-agent systems, including planning, tool use, and memory capabilities.
  • Embed AI into developer workflows : TDD automation, PR summarization, AI-assisted code reviews, and contextual documentation retrieval.
  • Extend CI / CD pipelines with intelligent features such as dependency impact prediction and build-time telemetry analysis.
  • Instrument observability platforms with AI-native capabilities for anomaly detection, log analysis, and root cause identification.
  • Partner with cross-functional teams to identify AI-native opportunities and prioritize impactful projects.
  • Mentor engineers, contribute to architecture reviews, and influence technical direction across teams.

Requirements

  • 7+ years of experience designing and building distributed back-end services in Kotlin (or Java) and modern TypeScript frontends.
  • Strong production-grade Python engineering skills, from design to deployment.
  • Hands-on experience deploying LLM / GenAI features to production, including fine-tuning, evaluation, optimization, and safety alignment.
  • Deep understanding of modern software delivery practices, including TDD / BDD, CI / CD, and observability.
  • Demonstrated leadership in driving automation and AI adoption within engineering organizations.
  • Excellent communication skills with the ability to convey complex technical concepts to technical and non-technical audiences.

    • Preferred :

  • Full-stack expertise in Kotlin and React.
  • Experience with multi-agent LLM systems (memory, reasoning, planning).
  • Familiarity with RAG pipelines, embeddings, semantic caching.
  • Background in high-growth or startup environments.

    • Benefits

  • Competitive salary range : $180,000 – $200,000 USD.
  • Performance bonus opportunities twice a year.
  • Stock options granted from day one.
  • Comprehensive health insurance coverage.
  • 401(k) retirement plan.
  • Unlimited PTO and paid family leave.
  • Four-week paid sabbatical after 5 years.
  • Monthly credits to enjoy premium meals from the company’s platform.
  • Wellness perks including fitness subsidies and nutritional coaching.
  • Access to a personalized Spanish coach.
  • Supportive culture with growth opportunities, continuous learning, and innovation focus.

    • Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

    When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

    🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

    📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

    🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

    🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

    The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

    Thank you for your interest!

    #LI-CL1

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    Staff Ai Engineer • US