Staff Software Engineer – GenAI, Agentic Workflows

🕒 il y a 3 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

info

🗣️🇺🇸🇬🇧 Anglais requis

Postuler Maintenant
Trouver des Emplois à Distance Similaires

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Logo of Machinify

Machinify

1001 - 5000 employés

⚕️ Assurance santé

🤖 Intelligence artificielle

☁️ SaaS

💰 €10 000 000 Series A - Machinify en 2018-10

Healthcare Insurance • Artificial Intelligence • SaaS

Machinify est une entreprise de plateforme et de services d'IA axée sur la santé qui transforme les paiements et l'intégrité des paiements dans le domaine de la santé. Son système d'exploitation d'IA unifie les demandes de remboursement, les dossiers médicaux, les contrats et les politiques, et utilise des modèles fondamentaux et des agents spécifiques à certaines tâches pour automatiser et améliorer le codage, la précision des paiements, les recouvrements et l'évitement de coûts. Machinify sert les régimes d’assurance maladie (y compris 18 des 20 principaux), prend en charge des déploiements internalisés, hybrides ou entièrement gérés, et met l'accent sur des résultats mesurables — avec plus de 85 clients, couvrant 270 millions de vies assurées, et évitant et récupérant plus de 6 milliards de dollars de coûts annuels.

Description

• Lead development of document processing pipelines capable of annually handling hundreds of millions of documents, including medical records, claims, and benefits data. • Design and implement agentic workflows that review and validate millions of healthcare claims per year, ensuring accuracy and payment integrity. • Evolve our agentic ecosystem by driving innovation in prompt development lifecycle, optimal utilization of various flavors of multi-modal (text + vision) LLMs, context extraction, RAG, workflow orchestration frameworks, observability and logging, and explainability of LLM outputs. • Collaborate across teams (Data Science, Data Engineering, and Product) to deliver robust, end-to-end AI-powered systems that automate complex workflows. • Address critical infrastructure needs by tracking and reducing tech debt while strengthening system reliability and scalability. • Mentor and guide engineers on best practices in designing production-grade AI systems, helping set technical direction for the team.

🎯 Exigences

• 6+ years of software engineering experience, including at least 2 years building agentic systems or AI-driven workflows in an enterprise setting. • Strong programming expertise in Java and Python, with additional experience in Scala a significant plus. • Experience designing and scaling large-scale, distributed systems and pipelines, ideally processing unstructured data such as documents or healthcare records. • Proven ability to productionize AI/ML techniques (e.g., LLM prompt engineering, RAG, workflow automation, and agents) with a focus on reliability, observability, and explainability. • Knowledge of monitoring and observability tools (Prometheus, Grafana or similar) and passion for tracking metrics. • Strong CS fundamentals, including data structures, asynchronous programming, and system design. • Demonstrated success in reducing manual processes through automation, ideally in healthcare, fintech, or other regulated domains. • Collaborative mindset with experience working closely with data scientists and cross-functional teams to translate requirements into technical designs and production systems. • A passion for pushing the boundaries of AI to deliver better-than-human-level accuracy and efficiency at scale. • Bachelor’s or Master’s degree in Computer Science or a related field (or equivalent practical experience). • Track record of building and shipping enterprise-grade AI/ML systems in production. • Strong testing and code quality discipline, with experience contributing to and improving enterprise-grade systems. • Experience with big-data tools and distributed systems frameworks (e.g., Spark, Flink, Kafka, Airflow, Ray) is a strong plus.

🏖️ Avantages

• Work from anywhere in the US! Machinify is digital-first. • Top Medical/Dental/Vision offerings • FSA/HSA • Tuition reimbursement • Competitive salary, 401(k) with company match • Unlimited PTO • Additional health and wellness benefits and perks • Flexible and trusting environment where you’ll feel empowered to do your best work

Postuler Maintenant

Emplois Similaires

🕒 il y a 3 mois

Playlab

1 - 10

Staff Fullstack Engineer at Playlab designing and implementing AI-native experiences for educational tools. Collaborating with cross-functional teams to develop robust applications for educators.

🇺🇸 États-Unis – Télétravail

💵 $170 000 - $210 000 / an

💰 €25 000 Grant - Playlab en 2024-03

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis

🕒 il y a 3 mois

GovWorx

11 - 50

🤖 Intelligence artificielle

🏛️ Gouvernement

☁️ SaaS

Staff Software Engineer at GovWorx enhancing public safety with AI solutions. Leading team projects through design, implementation, and performance evaluation.

🇺🇸 États-Unis – Télétravail

💵 $150 000 - $180 000 / an

🔥 Financement dans la dernière année

💰 Private equity en 2025-07

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis

🕒 il y a 3 mois

WorkOS

51 - 200

🔌 API

🏢 Entreprise

🤝 B2B

Software Engineer optimizing collaboration and code production for WorkOS. Building trust with engineering teams to improve internal software development processes and tools.

🇺🇸 États-Unis – Télétravail

💵 $150 000 - $250 000 / an

💰 €80 000 000 Series B - WorkOS en 2022-05

⏰ Temps Plein

🟠 Senior

🔴 Expert

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

info

🗣️🇺🇸🇬🇧 Anglais requis

🕒 il y a 3 mois

Nova Credit

51 - 200

💳 Fintech

☁️ SaaS

🤝 B2B

Staff Software Engineer leading high-impact software solutions at Nova Credit for global financial inclusion. Driving technical strategy, mentorship, and cross-functional initiatives to enhance engineering capabilities.

🗣️🇺🇸🇬🇧 Anglais requis

🕒 il y a 3 mois

Rogo

11 - 50

Staff Platform Engineer leading the technical direction of Rogo's AI platform. Building scalable solutions for enterprise workloads and enhancing reliability across Kubernetes infrastructure.

🇺🇸 États-Unis – Télétravail

💰 €7 000 000 Seed Round en 2024-02

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis