aimlroles

Senior AI Developer

sitero Open · verified Oct 22, 2026
Bangalore Full-time Senior AI Engineering

At a glance

Senior AI Engineering role at sitero. Bangalore · full-time.

Pay not stated AI Developer salary

RoleAI Engineering
SenioritySenior
LocationBangalore
EmploymentFull-time
PostedJun 16, 2026 · 4mo ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Design cloud-based architectures for AI applications that can scale in production
  • Deploy foundation models through AWS Bedrock and coordinate multi-step prompt workflows
  • Build secure APIs and microservices in Python, Java or Node.js
  • Connect corporate data to language models with RAG pipelines, while tuning inference speed and compute costs
  • Work with product teams on AI agents and coach junior engineers on engineering practices

What you bring

  • You have five to eight years of experience
  • A bachelor’s or master’s degree in computer science, engineering or another related field
  • Hands-on AWS Bedrock experience, including evaluating models and setting up agents
  • You can develop in Python, Java or Node.js and have worked with orchestration frameworks and vector databases

Who this fits

This role suits a senior developer who can take AI applications from model orchestration through production APIs and data integration. You’ll also collaborate with product teams and mentor junior engineers. The role is based in Bangalore.

From the employer

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