Senior AI Engineer
New
India / Ahmedabad / Bangalore / Coimbatore / Delhi NCR / Pune / Hyderabad, 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 6+ years of software engineering or backend engineering experience
- Required Skills
- AWSProblem SolvingTerraformTroubleshootingDebugging
Requirements
- 6+ years of software engineering or backend engineering experience.
- Strong hands-on experience with AWS cloud services in production environments.
- Experience working with AI/LLM-related cloud tooling and workflows.
- Experience with Terraform and Infrastructure as Code practices.
- Experience building backend systems and distributed workflows.
- Hands-on experience with AWS Step Functions.
- Familiarity with vector database technologies such as PGvector or similar vector search solutions.
- Experience integrating AI services such as AWS Bedrock or similar LLM platforms.
- Strong backend engineering and API integration experience.
- Ability to independently deliver technical solutions end-to-end.
- Strong troubleshooting, debugging, and problem-solving skills.
- Comfortable working in a highly delivery-focused environment with tight timelines.
- Strong communication and collaboration skills.
Responsibilities
- Design, build, and implement an end-to-end AI-powered tender response platform.
- Develop and maintain backend services and AI workflows using AWS-native technologies.
- Build and manage infrastructure using Terraform and cloud-native best practices.
- Implement AI and retrieval workflows leveraging AWS Bedrock and vector database technologies such as PGvector.
- Design and orchestrate scalable workflows using AWS Step Functions.
- Collaborate closely with senior technical stakeholders to deliver project milestones within tight timelines.
- Contribute to architecture decisions, backend integrations, and deployment workflows.
- Ensure solutions are scalable, maintainable, and production-ready.
- Troubleshoot and resolve technical issues across infrastructure, backend services, and AI components.
- Support testing, deployment, and optimisation activities throughout the project lifecycle.
- Operate effectively in a fast-paced environment with high ownership and minimal oversight.
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