1 час назад
Senior Full Stack Engineer (AI Platform & Agents)
99 600 - 174 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Full Stack Engineer (AI Platform & Agents) (TypeScript/Node/React/Python): Building full-stack applications, AI agents, and reusable GenAI platform components for rapid development, validation, and deployment with an accent on cloud-native systems, developer tooling, and safe AI delivery. Focus on designing RAG and tool-use workflows, implementing evaluations and observability, and improving latency, reliability, hallucination reduction, safety, and cost per query.
Location: US or Canada; remote or hybrid. Candidates near a office work onsite 2 days per week. The team also supports remote work in the EU. Required availability includes 9–11 AM CST overlap.
Salary: $99,600–$174,000 USD annually
Company
develops information, software, and AI solutions for healthcare, legal, tax, and compliance industries.
What you will do
- Design and implement full-stack applications, AI agents, and reusable GenAI platform components.
- Build developer tooling, CI/CD workflows, observability, evaluations, canary releases, rollbacks, and cost and quality telemetry.
- Apply secure SDLC, threat modeling, least-privilege access, and privacy-by-design practices.
- Use RAG, retrieval, routing, tool use, and evaluation patterns to deliver reliable AI systems and measurable customer outcomes.
- Collaborate with product, UX, and domain experts on customer-focused solutions.
- Lead by example through high-quality, maintainable code and end-to-end ownership from concept to production.
Requirements
- 5+ years of professional software engineering experience.
- Strong full-stack development skills and experience with AWS, Azure, or GCP.
- Expertise in at least one of AI agent development and evaluation, backend or frontend development, cloud services, CI/CD and infrastructure as code, SRE, quality engineering, or secure SDLC.
- Experience delivering secure, reliable, cloud-native systems to production.
- Excellent problem-solving, ownership, and cross-functional communication skills.
- Ability to maintain 9–11 AM CST working-hours overlap; onsite attendance may be required for hybrid work and parts of the interview process.
Nice to have
- Experience taking AI agents from concept to production, including safety evaluations, A/B testing, and continuous improvement.
- Experience with LangChain, LangGraph, MCP, vector and RAG systems, or OpenSearch.
- Knowledge of traditional ML training, deployment, and monitoring.
- Understanding of LLM failure modes, fine-tuning, and model adaptation.
- Familiarity with SOC 2, HIPAA, or similar regulatory frameworks.
Culture & Benefits
- Remote-first team of approximately 100 engineers with hybrid options near major offices.
- High-autonomy environment where outcomes and demonstrated impact matter.
- Medical, dental, and vision plans.
- 401(k), FSA/HSA, commuter benefits, tuition assistance, vacation, sick time, and paid parental leave.
- Occasional travel for team onsite meetings and offsites may be required.
Hiring process
- Submit a resume and brief cover letter containing a Statement of Exceptional Work describing a high-impact project and its measurable results.
- Interviews must be completed without AI tools, external prompts, or third-party assistance.
- Applicants may be required to attend an onsite interview at a office.
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