Senior AI Developer

Sitero

Bengaluru, Karnataka, India

Company Description

Sitero is a forward-thinking clinical research organization (CRO) dedicated to streamlining clinical trials for life sciences and institutional research organizations. By combining cutting-edge technology and world-class services, Sitero accelerates the development of safer treatments and innovations. With a team of experienced professionals and a commitment to compliance and safety, Sitero offers groundbreaking research support. The company operates globally, with offices in the U.S., Canada, U.K., Australia, Poland, and India.

Role Overview

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.

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