Key Skills: LLM, AI Engineering, Generative AI, Scripting, SQL
Roles and Responsibilities:
- Design and develop Generative AI solutions on AWS for enterprise workflows and automation use cases
- Build AI-powered backend services using Python and integrate them with enterprise applications and data sources
- Implement LLM-based capabilities including prompt engineering, intent classification, summarization, and RAG patterns
- Develop and integrate solutions using AWS Bedrock, Amazon Lex, AWS Lambda, and API Gateway
- Deploy AI solutions through CI/CD pipelines and Infrastructure as Code while following security and compliance requirements
Skills Required:
- 4 to 10 years of relevant experience in AI engineering, applied AI, or cloud-based solution development
- Hands-on experience with Generative AI, LLMs, and AI engineering for production use cases
- Solid backend development experience in Python with AWS-based AI services and integrations
- Experience designing scalable AI workflows, RAG implementations, and enterprise application connectivity
- Experience with deployment automation, CI/CD, API integration, and cloud-native delivery practices
Good to Have:
- SQL scripting experience for data access and integration tasks
Education: Bachelor's degree in Computer Science, Engineering, or a related field
📌 AI Engineer - Generative AI / Applied AI (Chennai)
🏢 MyCareernet
📍 Chennai
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