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Salary
≈ $23k – $50k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Jun 16, 2026.

Overview
Company
Impact
Profile match
Full-stack CRO with proprietary AI-powered eClinical technology. Sitero provides clinical operations, drug safety, IRB services, and a unified platform for pharma and biotech sponsors.

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 Bedrockand 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 Developercredentials or building production-grade enterprise agents.
  • Familiarity with advanced prompt optimization, guardrails, and model fine-tuning techniques.
  • 5-8 years experience
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