Values

The ad says“Experience with AWS Certified Generative AI Developercredentials or building production-grade enterprise agents.”
The ad says“Data Systems:Experience working with Vector Databases (e.g., Pinecone, Amazon OpenSearch, Milvus) and SQL/NoSQL systems.”
The ad says“Software Engineering:Solid understanding of CI/CD pipelines, Docker, Kubernetes, and Git workflows.”
The ad says“Software Engineering:Solid understanding of CI/CD pipelines, Docker, Kubernetes, and Git workflows.”
The ad says“Software Engineering:Solid understanding of CI/CD pipelines, Docker, Kubernetes, and Git workflows.”
The ad says“Familiarity with advanced prompt optimization, guardrails, and model fine-tuning techniques.”
The ad says“AI Ecosystem:Experience with orchestration frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem.”
The ad says“Software Engineering:Solid understanding of CI/CD pipelines, Docker, Kubernetes, and Git workflows.”
The ad says“AI Ecosystem:Experience with orchestration frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem.”
The ad says“AI Ecosystem:Experience with orchestration frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem.”
The ad says“Data Systems:Experience working with Vector Databases (e.g., Pinecone, Amazon OpenSearch, Milvus) and SQL/NoSQL systems.”
The ad says“Familiarity with advanced prompt optimization, guardrails, and model fine-tuning techniques.”
The ad says“Data Systems:Experience working with Vector Databases (e.g., Pinecone, Amazon OpenSearch, Milvus) and SQL/NoSQL systems.”
The ad says“Data Systems:Experience working with Vector Databases (e.g., Pinecone, Amazon OpenSearch, Milvus) and SQL/NoSQL systems.”
The ad says“Familiarity with advanced prompt optimization, guardrails, and model fine-tuning techniques.”
The ad says“Data Systems:Experience working with Vector Databases (e.g., Pinecone, Amazon OpenSearch, Milvus) and SQL/NoSQL systems.”
The ad says“Data Systems:Experience working with Vector Databases (e.g., Pinecone, Amazon OpenSearch, Milvus) and SQL/NoSQL systems.”

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.

Job Title: Senior AI Developer

Location: Bangalore, Karnataka

Function: IT and Hosting Services/Engineering

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

COMPENSATION & BENEFITS:

Sitero proudly offers an impressive compensation package and benefits, including a competitive salary, Variable pay, paid time off, and healthcare and retirement benefits.

EMPLOYMENT TYPE:

Full Time, Permanent

COMMITMENTS:

Standard Hours 40 hours per week, one hour lunch, Monday – Friday. Additional hours as needed.
Willing to work in shifts as and when needed.

DISCLAIMER:

Sitero is an equal opportunity employer and welcomes all job applicants. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other factors prohibited by law.

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