DoableFromHome
← Back to your search

Sitero

Senior AI Developer

Engineering

Employment

Full-time
From the employer

Full-Time

Level

Senior

Team

IT and Hosting Services
Not doable from Austria

Country assessment

Not doable from Austria because it is tied to an office and never says it can be done remotely.

Our assessment is guidance. Confirm arrangements with the employer.

Skills mentioned in this posting

JavaScriptPythonJavaKubernetesDockerAWSML/AILLMsCI/CD

Job description

Sitero is seeking a Senior AI Developer to design, build, and deploy next-generation AI-driven applications. You will bridge the gap between advanced machine learning models and scalable, production-ready enterprise solutions leveraging modern cloud AI platforms.


Key Responsibilities

  • Application Architecture: Design robust, scalable architectures for AI-powered applications natively on the cloud.
  • Model Orchestration: Deploy and manage foundation models using AWS Bedrock and orchestrate complex prompt workflows.
  • API Development: Build and maintain secure, high-performance APIs and microservices using Python, Java, or Node.js.
  • Data Integration: Implement Retrieval-Augmented Generation (RAG) pipelines to connect internal corporate data with language models.
  • System Optimization: Optimize application latency, token throughput, and overall compute costs for AI inference.
  • Collaboration & Mentorship: Partner with product teams to build AI agents and mentor junior engineers on engineering best practices.

Required Skills & Qualifications

  • Education: Bachelor’s or master’s degree in computer science, Engineering, or a related field.
  • AI & Cloud Platforms: Deep hands-on experience with AWS Bedrock, including model evaluation and agent setup.
  • AI Ecosystem: Experience with orchestration frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem.
  • Core Development: Strong software engineering proficiency in Python, Java, or Node.js.
  • Data Systems: Experience working with Vector Databases (e.g., Pinecone, Amazon OpenSearch, Milvus) and SQL/NoSQL systems.
  • Software Engineering: Solid understanding of CI/CD pipelines, Docker, Kubernetes, and Git workflows.

Preferred Qualifications

  • Experience with AWS Certified Generative AI Developer credentials or building production-grade enterprise agents.
  • Familiarity with advanced prompt optimization, guardrails, and model fine-tuning techniques.
  • 5-8 years experience