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Sitero

Senior AI Developer

Sitero

. Design robust, scalable architectures for cloud-native AI-powered applications .

Posted 9/15/2026full-timeBangalore • IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying cloud-native AI applications, with a strong focus on AWS Bedrock and orchestration frameworks. Proficient in building secure APIs and microservices while mentoring junior engineers in best practices.

Highest-signal resume keywords
AWS BedrockPython ProgrammingAPI DevelopmentOrchestration FrameworksCloud-Native Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Cloud-Native ArchitecturePython ProgrammingJava ProgrammingNode.js ProgrammingRetrieval-Augmented Generation (RAG)SQL SystemsNoSQL SystemsModel Fine-TuningPrompt OptimizationVector Databases
Soft Skills
MentoringCollaboration
Tools & Technologies
AWS BedrockDockerKubernetesGitLangChainLlamaIndexHugging Face Ecosystem
Certifications & Qualifications
AWS Certified Generative AI Developer
Industry Keywords
AI-Powered ApplicationsMicroservicesCI/CD PipelinesApplication Latency OptimizationCompute Cost Management

Tech Stack

Tools & technologies
AWSCloudDockerJavaJavaScriptKubernetesMicroservicesNode.jsNoSQLPythonSQL

About the role

Key responsibilities & impact
  • Design robust, scalable architectures for cloud-native AI-powered applications
  • Deploy and manage foundation models using AWS Bedrock
  • Orchestrate complex prompt workflows
  • Build and maintain secure, high-performance APIs and microservices using Python, Java, or Node.js
  • Implement Retrieval-Augmented Generation (RAG) pipelines connecting internal corporate data with language models
  • Optimize application latency, token throughput, and compute costs for AI inference
  • Partner with product teams to build AI agents
  • Mentor junior engineers on engineering best practices

Requirements

What you’ll need
  • Bachelor’s or master’s degree in computer science, Engineering, or a related field
  • Deep hands-on experience with AWS Bedrock, including model evaluation and agent setup
  • Experience with orchestration frameworks such as LangChain, LlamaIndex, or the Hugging Face ecosystem
  • Strong software engineering proficiency in Python, Java, or Node.js
  • Experience with vector databases such as Pinecone, Amazon OpenSearch, or Milvus
  • Experience with SQL/NoSQL systems
  • Understanding of CI/CD pipelines, Docker, Kubernetes, and Git workflows
  • Familiarity with advanced prompt optimization, guardrails, and model fine-tuning techniques
  • AWS Certified Generative AI Developer credentials or experience building production-grade enterprise agents preferred
  • 5–8 years of experience
  • Willingness to work in shifts as and when needed

Benefits

Comp & perks
  • Competitive salary
  • Variable pay
  • Paid time off
  • Healthcare benefits
  • Retirement benefits