Senior Software Engineer – AI, LLMs

🕒 Outubro 22, 2025

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $120.000 - $160.000 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🗣️🇺🇸🇬🇧 Inglês obrigatório

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apiphani

11 - 50 funcionários

🏢 Corporativo

☁️ SaaS

🔐 Segurança

Enterprise • SaaS • Security

A Apiphani é uma empresa de serviços habilitados por tecnologia dedicada a minimizar o risco e o esforço associados à gestão de aplicativos críticos para o negócio. A empresa fornece uma gama de serviços, incluindo suporte a aplicativos, gerenciamento técnico de aplicativos, hospedagem de aplicativos, gerenciamento de infraestrutura de aplicativos e consultoria e gerenciamento de segurança. Suas soluções incorporam tecnologia líder no setor que utiliza automação profunda e aprendizado de máquina para aumentar a eficiência e a confiabilidade. A Apiphani faz parceria com grandes provedores de nuvem como AWS, Azure e Google Cloud, e é conhecida por sua capacidade de reduzir erros humanos em atividades de administração e suporte, permitindo que engenheiros seniores se concentrem nos objetivos de negócios dos clientes.

Descrição

• Design and implement backend services that enable intelligent agent workflows and autonomous infrastructure actions • Develop APIs and orchestration layers in Python and TypeScript, integrating LLMs, vector databases, and observability pipelines • Build scalable systems to support LLM-based reasoning, retrieval, and decision-making across cloud infrastructure • Integrate with AWS Bedrock and other LLM platforms to support multi-model capabilities • Develop data access and semantic search layers using vector databases (e.g., pgvector, Pinecone, Qdrant) • Build robust monitoring, testing, and CI/CD systems to ensure reliability and reproducibility of AI workflows • Collaborate closely with the product and DevOps teams to design architecture diagrams, plan deployments, and monitor system health • Write clean, maintainable code with clear documentation and strong adherence to security and performance best practices • Participate in code reviews, design discussions, and iterative delivery cycles to improve product velocity and quality

🎯 Requisitos

• 6+ years of backend engineering experience in production environments • Strong proficiency in Python and TypeScript for building distributed, event-driven systems • Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.) • Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models • Familiarity with vector databases and concepts like embeddings, similarity search, and retrieval-augmented generation • Experience with infrastructure-as-code tools such as Terraform or AWS CDK • Understanding of SQL and schema migration workflows (PostgreSQL or similar) • Hands-on experience with Docker, GitHub Actions, and cloud-native CI/CD workflows • Ability to diagram systems, communicate architecture decisions clearly, and work asynchronously in a distributed team • Strong sense of ownership and ability to deliver in fast-moving, ambiguous environments

🏖️ Benefícios

• Medical/dental/vision - 100% paid for employees, 50% paid for dependents • Life and disability - 100% paid for employees • 401K - 3% contribution, no employee contribution necessary • Education and tuition reimbursement - up to $50K annually • Employee Stock Options Plan • Accident, critical illness, hospital indemnity benefits offered through our providers • Employee Assistance Program • Legal assistance • Paid Time Off - up to 6 weeks per year • Sick Leave - up to 2 weeks per year • Parental Leave - up to 12 weeks

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Clojure

Haskell

Rust