Senior AI Developer

Sitero LLC; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Sitero LLC is looking for a Senior AI Developer to design and deploy next-generation AI-driven applications. This role requires a strong proficiency in AWS Bedrock and experience in building scalable architectures.

The ideal candidate will have hands-on experience with orchestration frameworks and software engineering in Python, Java, or Node.js. The position offers opportunities for collaboration with product teams and mentoring junior engineers, all within a dynamic work environment in Bengaluru, India.

Qualifications

• Deep hands-on experience with AWS Bedrock, including model evaluation and agent setup.
• Experience with orchestration frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem.
• Experience working with Vector Databases (e.g., Pinecone, Amazon OpenSearch, Milvus) and SQL/NoSQL systems.

Responsibilities

• Design robust, scalable architectures for AI-powered applications natively on the cloud.
• Deploy and manage foundation models using AWS Bedrock.
• Build and maintain secure, high-performance APIs and microservices.

Skills

AWS Bedrock

Python

Java

Node.js

Vector Databases

CI/CD

Kubernetes

Education

Bachelor’s or master’s degree in computer science, Engineering, or a related field

Tools

Docker

Git

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