AI Engineer / Generative AI Engineer (AWS Bedrock)_REMOTE
Role: AI Engineer / Generative AI Engineer (AWS Bedrock)
Location: US_REMOTE
Contract_W2
Job Summary
We are seeking an AI Engineer with hands-on experience in AWS Bedrock to design, build, and deploy generative AI solutions at scale. The ideal candidate will work closely with product, data, and engineering teams to integrate foundation models into real-world applications, ensuring security, scalability, and performance.
Key Responsibilities
ā¢ Design and develop generative AI applications using AWS Bedrock and foundation models (e.g., Anthropic Claude, Amazon Titan, Meta Llama).
ā¢ Build and optimize prompt engineering, model orchestration, and retrieval-augmented generation (RAG) pipelines.
ā¢ Integrate AI solutions with AWS services such as Lambda, S3, DynamoDB, OpenSearch, API Gateway, and IAM.
ā¢ Implement model evaluation, monitoring, and cost optimization strategies.
ā¢ Ensure data privacy, security, and compliance when working with AI models.
ā¢ Collaborate with cross-functional teams to translate business requirements into AI-powered features.
ā¢ Stay current with advancements in generative AI, LLMs, and AWS AI/ML services.
Required Qualifications
ā¢ Bachelor s or Master s degree in Computer Science, AI, ML, or a related field.
ā¢ Strong experience with AWS services, especially AWS Bedrock.
ā¢ Proficiency in Python (preferred) or other relevant programming languages.
ā¢ Experience working with large language models (LLMs) and generative AI concepts.
ā¢ Understanding of APIs, microservices, and cloud-native architectures.
ā¢ Familiarity with vector databases and embeddings (e.g., OpenSearch, Pinecone, FAISS).
Preferred Qualifications
ā¢ Experience with MLOps and CI/CD pipelines for AI workloads.
ā¢ Knowledge of LangChain, LlamaIndex, or similar frameworks.
ā¢ AWS certifications (e.g., AWS Certified Machine Learning Specialty).
ā¢ Experience deploying AI solutions in production environments.
What We Offer
ā¢ Opportunity to work on cutting-edge Generative AI solutions
ā¢ Cloud-native, innovation-driven environment
ā¢ Competitive salary and benefits
ā¢ Continuous learning and certification support
Apply Now
Apply Now
Location: US_REMOTE
Contract_W2
Job Summary
We are seeking an AI Engineer with hands-on experience in AWS Bedrock to design, build, and deploy generative AI solutions at scale. The ideal candidate will work closely with product, data, and engineering teams to integrate foundation models into real-world applications, ensuring security, scalability, and performance.
Key Responsibilities
ā¢ Design and develop generative AI applications using AWS Bedrock and foundation models (e.g., Anthropic Claude, Amazon Titan, Meta Llama).
ā¢ Build and optimize prompt engineering, model orchestration, and retrieval-augmented generation (RAG) pipelines.
ā¢ Integrate AI solutions with AWS services such as Lambda, S3, DynamoDB, OpenSearch, API Gateway, and IAM.
ā¢ Implement model evaluation, monitoring, and cost optimization strategies.
ā¢ Ensure data privacy, security, and compliance when working with AI models.
ā¢ Collaborate with cross-functional teams to translate business requirements into AI-powered features.
ā¢ Stay current with advancements in generative AI, LLMs, and AWS AI/ML services.
Required Qualifications
ā¢ Bachelor s or Master s degree in Computer Science, AI, ML, or a related field.
ā¢ Strong experience with AWS services, especially AWS Bedrock.
ā¢ Proficiency in Python (preferred) or other relevant programming languages.
ā¢ Experience working with large language models (LLMs) and generative AI concepts.
ā¢ Understanding of APIs, microservices, and cloud-native architectures.
ā¢ Familiarity with vector databases and embeddings (e.g., OpenSearch, Pinecone, FAISS).
Preferred Qualifications
ā¢ Experience with MLOps and CI/CD pipelines for AI workloads.
ā¢ Knowledge of LangChain, LlamaIndex, or similar frameworks.
ā¢ AWS certifications (e.g., AWS Certified Machine Learning Specialty).
ā¢ Experience deploying AI solutions in production environments.
What We Offer
ā¢ Opportunity to work on cutting-edge Generative AI solutions
ā¢ Cloud-native, innovation-driven environment
ā¢ Competitive salary and benefits
ā¢ Continuous learning and certification support
Apply Now
Apply Now