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Location
In office (Bengaluru)
Seniority
Staff
Employment
Full-Time

First seen by Alion on Nov 12, 2026.

Overview
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Impact
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Cloudwick is an AWS certified consulting partner that specializes in building native data lakes, decision automation via AI, business intelligence and analytics, data warehousing, Hadoop migration, and more.
We're seeking hands-on Lead Software Engineers who can build production-ready AI solutions on AWS and guide distributed teams while continuously scouting and prototyping emerging AI technologies. You'll join our Product Engineering group, owning end-to-end delivery of next-generation Amorphic AI solutions while mentoring engineers across global teams.

Responsibilities

Technical Leadership

  • Lead the integration of cutting-edge AI/LLMs into Amorphic AI Solutions, ensuring seamless interoperability and optimal performance
  • Design and architect complex software systems with focus on scalability, maintainability, and performance
  • Architect production-grade RAG pipelines and multi-agent orchestration on AWS (Lambda, ECS/Fargate, Bedrock, SageMaker, DynamoDB, S3, EventBridge, Step Functions)
  • Drive the design and implementation of scalable AI pipelines

Development & Innovation

  • Design, develop, test, and maintain scalable backend applications using Python and AWS services
  • Stay current with AI advancements through hands-on experimentation with emerging frameworks (LangChain, Hugging Face Transformers, CrewAI) via prototypes and side projects
  • Optimize AI solution performance focusing on cost-effectiveness, latency, and resource utilization
  • Develop strategies for monitoring, maintaining, and improving deployed AI models in

production

  • Team Leadership
  • Lead 5-10 engineers through design reviews, pair-programming, and PR feedback.
  • Conduct code reviews and design discussions to ensure adherence to best practices
  • Collaborate with cross-functional teams globally to identify requirements and implement solutions
  • Create and maintain comprehensive documentation for architecture, design decisions, and coding practices
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