ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 20 ΡΠ°ΡΠΎΠ² Π½Π°Π·Π°Π΄
Solutions Engineer (AI)
182Β 600 - 295Β 350$
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Solutions Engineer (AI) (AgentControl): Building customer-facing AI solutions, integrations, technical content, and product demonstrations to scale AgentControl from market validation to an industry-leading product with an accent on multi-agent systems, LLM architecture, and AI agent evaluation. Focus on leading technical evaluations, designing integrations, translating customer feedback into product improvements, and enabling sales and technical teams.
Location: Remote - US
Pay: $182,600β$295,350 annually, depending on US geographic pay zone and location.
Company
provides a software delivery platform for controlled feature releases, experimentation, personalization, and engineering productivity.
What you will do
- Lead customer evaluations, implementations, and adoption of AgentControl, supporting activation and churn prevention.
- Build integrations, architecture diagrams, whitepapers, tutorials, technical content, and customized product demonstrations.
- Develop Solutions Engineering playbooks, best practices, competitor materials, and enablement programs with AI specialists and cross-functional teams.
- Collect customer and market feedback, monitor product performance and user experience, and inform the AgentControl roadmap.
- Support technical partnerships and publicly present AgentControl through conferences, webinars, and strategic engagements.
- Lead proofs of value to validate technical wins and support revenue generation with major customers.
Requirements
- Extensive experience building, implementing, or selling AI applications at scale.
- Experience building multi-agent systems with frameworks such as LangGraph, AgentBuilder, or AgentCore.
- Hands-on experience evaluating AI agent performance at scale using automated evaluation methods.
- Deep understanding of LLM mechanics and transformer architecture, including the concepts covered in βAttention is All You Need.β
- Experience building or integrating MCP servers, strong Python skills, and experience with PyTorch or TensorFlow.
- Typically 12 or more years of related experience, with strong software engineering fundamentals and the ability to communicate complex technology to technical audiences.
Culture & Benefits
- Collaborative, respectful, humble, open, and inclusive working environment.
- High-trust culture focused on transparency and teamwork.
- Restricted Stock Units.
- Health, vision, dental, and mental health benefits.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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