Job Description
Job Description
Job Title: AWS Bedrock Engineer
Location: Remote
Length: 10-12 months
Job description:
Your Impact
Design, build, and optimize generative AI solutions using AWS Bedrock and other AWS AI/ML services.
Collaborate with data scientists, ML engineers, and software developers to integrate LLMs and foundation models into enterprise applications.
Develop scalable APIs and pipelines for AI model deployment, monitoring, and lifecycle management.
Ensure solutions meet security, compliance, and cost optimization standards in cloud-native environments.
Partner with business stakeholders to translate requirements into end-to-end AI solutions, focusing on performance, usability, and scalability.
Research and evaluate emerging foundation models (Anthropic Claude, Cohere, AI21, Stability, etc.) available through Bedrock to recommend best-fit options.
Your Skills and Experience
Strong experience with at least one major cloud AI/ML ecosystem: AWS (Bedrock, SageMaker, Lambda, Step Functions), Azure (OpenAI, Cognitive Services, ML Studio) or GCP (Vertex AI)
Proficiency in Python for model integration and API development.
Practical experience working with LLMs and familiarity with some of the following:
Embeddings, RAG (Retrieval-Augmented Generation), Vector databases (Pinecone, Weaviate, FAISS), Frameworks like LangChain or similar
Experience deploying AI/ML solutions into production or piloting generative AI applications in cloud or hybrid environments.
Understanding of MLOps practices (model versioning, monitoring, CI/CD for ML) and willingness to apply them in GenAI contexts.
Awareness of security, governance, and compliance considerations in cloud-based AI systems.
Set Yourself Apart With
Prior experience delivering enterprise-level generative AI projects using AWS Bedrock.
Knowledge of multi-cloud AI/ML services (Azure OpenAI, GCP Vertex AI, Hugging Face Hub).
Contributions to open-source AI frameworks or published work on generative AI.
Expertise in cost optimization and performance tuning for large-scale AI applications in AWS.