Senior Software Engineer, AI

🕒 il y a 9 jours

💵 €95 000 - €110 000 / an

⏰ Temps Plein

🟠 Senior

🤖 Ingénieur IA

🗣️🇺🇸🇬🇧 Anglais requis

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Muck Rack

201 - 500 employés

🤝 B2B

📱 Médias

💰 €180 000 000 Series A en 2022-09

B2B • Media

La plateforme de gestion des relations publiques (PRM) de Muck Rack permet à des milliers d'organisations, dont Google, Knight Foundation, Pfizer, Golin, Zapier et Duolingo, de bâtir la confiance et de raconter leurs histoires à travers les médias acquis. Sa base de données médiatique recueille des centaines de millions de points de données pour aider les équipes de RP à trouver des journalistes, podcasteurs et créateurs de contenu, générer des couvertures, surveiller les nouvelles et prouver la valeur de leur travail. Les journalistes utilisent les outils gratuits de Muck Rack pour présenter leurs portfolios, analyser les nouvelles sur n'importe quel sujet et mesurer l'impact de leurs histoires.

Description

• Build tools, prompts, guardrails, and multi-turn workflows with memory for action-taking agents • Design agent behavior for acting, asking questions, and handing off to humans • Build in-product chat, streaming responses, permission-aware APIs, and the external MCP server • Build evaluations, catch regressions, and use production feedback to improve quality, latency, and cost • Make platform decisions about building, deploying, and running agents as the product grows • Take features from idea to production across the Python agent runtime, MCP server, and Django/Vue application • Work with new models and solve real customer problems • Travel up to 10% for team collaboration, customer engagements, and company events • Attend the annual company offsite, typically held in Mexico

🎯 Exigences

• 7+ years building production software • Fluent Python skills, including async programming and experience with FastAPI, FastMCP, or Django • Experience shipping LLM-powered features or agents to real customers, including exposing tools via MCP • Practical understanding of prompting, tool use, context management, and where models go wrong • Experience measuring AI quality and using feedback to improve it • Strong API and tool design skills, including authentication and authorization • Proactively incorporates AI tools into day-to-day work to improve productivity and accelerate delivery • Working-hour overlap with US time zones, Eastern preferred • Agent frameworks such as Pydantic AI, LangGraph, or the OpenAI Agents SDK • MCP servers and LLM tooling • AI evaluation tools and methods, including DeepEval and LLM-as-judge • Streaming UIs, server-sent events, and Vue.js • Experience with LLM observability • AI security, including prompt injection defenses and tenant isolation

🏖️ Avantages

• Fully distributed team with a permanent remote setup • Home office stipend • Phone and internet reimbursement • Coworking membership • Virtual and in-person team bonding, including lunches, events, and competitions • Annual reviews to ensure equity and market alignment • Standardized bonus or commission structure • 401(k) with employer contributions • Equity opportunities • Comprehensive medical, dental, vision, disability, and life insurance for employees and dependents • 100% premium coverage for individuals on high-deductible plans • 24/7 Virtual Care and Employee Assistance Program • Employer-funded HSA contributions and other pre-tax benefits • Quarterly wellness stipend • Free Headspace subscription • 4+ weeks of PTO, plus paid sick and mental health days • 13 paid holidays with the option to swap for personal days • Up to 16 weeks of fully paid parental leave • Transparent pathways for internal mobility and promotion • Bi-annual performance reviews, team workshops, and leadership training • Unlimited access to Coursera and O’Reilly • 2 additional PTO days annually for learning and development

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