Senior llm engineer aws bedrock

4 hours ago


Eluru, India MindBrain Full time

???? Job Title: LLM Engineer – AWS Bedrock ???? Engagement: Contract | Remote ???? Experience Required: 6+ Years ???? Job Summary We are seeking a highly skilled LLM Engineer with proven, hands-on experience in AWS Bedrock and modern generative AI architectures. The ideal candidate will be responsible for designing, developing, and deploying LLM-driven solutions while ensuring scalability, performance, and seamless backend integration. ???? Key Responsibilities Design and implement end-to-end LLM-based applications leveraging AWS Bedrock. Build and integrate large language models into scalable, secure cloud architectures. Develop enterprise-grade solutions using Python or other backend technologies. Optimize model performance through prompt engineering , fine-tuning, and evaluation. Work with AWS services such as S3, Lambda, Sage Maker, API Gateway, IAM , and more. Collaborate with cross-functional teams to define AI use cases and deliver robust solutions. Ensure best practices for cloud security , cost management , and scalability . ???? Mandatory Requirements 5+ years of professional experience in software development or ML engineering. Strong hands-on expertise with AWS Bedrock (recent & mandatory). Knowledge of LLM fine-tuning , prompt engineering , and model orchestration. Proficiency with AWS ecosystem tools for AI/ML development. Experience in Python or similar backend languages for AI integration. Solid understanding of cloud infrastructure, CI/CD, and system optimization. Strong analytical, communication, and problem-solving abilities. ✨ Nice to Have Experience with Lang Chain or similar LLM orchestration frameworks. Familiarity with vector databases: Pinecone, FAISS, Milvus , etc. Exposure to Open AI, Anthropic, or Cohere LLM APIs.



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