Senior AI Developer

Senior AI Developer

Sitero is a technology-enabled clinical research organization (CRO) and eClinical solutions provider dedicated to accelerating drug development for pharmaceutical manufacturers, emerging biotechs, and medical device companies. Our integrated platform combines expert regulatory consulting, end-to-end clinical trial management, and purpose-built eClinical technology — including electronic data capture (EDC), electronic Trial Master File (eTMF), clinical trial management systems (CTMS), RTSM, Patient Payments, eConsent, pharmacovigilance, quality management, and SiteroAI — all in a single, sponsor-centric business model.

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.

Essential Duties and 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.

Education and Experience Required

• 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.