Generative AI Engineer – Amazon Bedrock & Anthropic Claude Specialist

Overview

About Us

We are a cutting-edge AI-first company focused on building scalable, ethical, and intelligent systems to transform how humans interact with digital information. We’re developing an enterprise-grade generative AI solution that leverages the latest in Amazon and Anthropic technologies to revolutionize decision-making and automation across industries.

Job Summary

We are looking for a hands-on Generative AI Engineer with deep expertise in Amazon Bedrock, Amazon Q, Amazon Textract, and Anthropic Claude. You will lead the design, development, and deployment of LLM-powered solutions using state-of-the-art tools and APIs to build secure, reliable, and explainable AI systems for enterprise use.

Key Responsibilities

• Architect and build generative AI pipelines using Amazon Bedrock and Anthropic Claude (via APIs or SDKs).
• Integrate Amazon Textract for intelligent document processing and data extraction.
• Build knowledge retrieval and synthesis workflows using Amazon Q and vector databases for RAG (Retrieval Augmented Generation).
• Develop reusable prompt templates, fine-tuning strategies, and orchestration logic for large-scale generative AI use cases.
• Collaborate with DevOps teams to deploy models using AWS Cloud (Lambda, S3, EC2, SageMaker, etc.).
• Ensure data privacy, compliance, and governance standards are met.
• Conduct performance tuning, cost optimization, and observability enhancements across all deployed AI services.
• Contribute to the evaluation of emerging tools (e.g., LangChain, Haystack, etc.) and foundational models for integration.

Required Skills and Qualifications

• Bachelor’s or Master’s in Computer Science, AI, Data Science, or a related field.
• 4+ years of experience in software engineering or ML/AI development.
• Strong hands-on experience with:
• Amazon Bedrock (e.g., invoking Claude, Titan, or third-party models)
• Anthropic Claude API (prompt design, context management, response parsing)
• Amazon Textract (for OCR, form, and table data extraction)
• Amazon Q (knowledge assistant and RAG integrations)
• AWS Cloud Services (IAM, Lambda, S3, API Gateway, DynamoDB, SageMaker)
• Solid understanding of LLM architecture, prompt engineering, and fine-tuning techniques.
• Familiarity with Python, REST APIs, JSON, and asynchronous workflows.

Preferred Qualifications

• Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and embeddings.
• Working knowledge of LangChain, Haystack, or other LLM orchestration frameworks.
• Prior experience building secure, scalable AI applications in production environments.
• Understanding of ethical AI, model explainability, and data privacy regulations (GDPR, HIPAA, etc.).

What We Offer

• Competitive salary and performance-based bonuses
• Remote-friendly work environment with flexible hours
• Access to premium tools, APIs, and cloud credits
• Opportunity to work at the forefront of applied AI with global impact
• Supportive and highly skilled cross-functional team

To Apply

• Send your updated CV, GitHub/portfolio links, and a short cover letter highlighting your experience to [surbhi.mehta@thesaffronsolution.com] and [pradeep.gopalsamy@thesaffronsolution.com]

Job Type: Full-time

Benefits:

• Work from home

Schedule:

• Monday to Friday
• Night shift

Application Question(s):

• Do you hold any relevant certifications (e.g., AWS Certified Machine Learning – Specialty, Generative AI on AWS, other cloud/AI certifications)?
• Have you worked with Amazon Textract, Amazon Q, Amazon SageMaker, AWS Lambda, Amazon API Gateway, Amazon DynamoDB?

Experience:

• hands-on experience with Amazon Bedrock: 4 years (Required)

Work Location: Remote

Expected Start Date: 01/08/2025