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Job Title: AI Engineer - AWS Bedrock
Location: Any Xebia Office
Shift Time: 3:30 PM to 12:30 AM
About the Role:
We are looking for an AI engineer to deliver AI solutions for a strategic client.
Need hands-on person who can work with customer, understand the requirements, get involved in hands-on coding, testing, implementation and support.
Key Responsibilities
Translate client business problems into end-to-end solution solution.
Design cloud-native applications and AI-driven solutions using AWS services.
Lead the delivery of AI solutions (AWS Bedrock, SageMaker, MLOps).
Ensure solutions follow AWS Well-Architected best practices for scalability, performance, and security. – Good to have
Skills & Experience:
Strong experience in application (cloud-native, microservices, APIs, integration patterns) – Must have
Experience in AWS, Bedrock, Agent Core, MCP, Prompt management, LLMOps, Agentic AI – Must have
Solid expertise with AWS services for applications, data, and AI/ML. – Must have
Experience in Java, spring boot, microservices – Need mid-level expertise
Excellent consulting, communication, and client-facing skills.
Job ID: 148449263
Skills:
Docker, Rest Apis, Python, Kubernetes, LangChain, Prompt engineering, Microservices architecture, Semantic Kernel, AI tool implementation, Workflow automation, LlamaIndex, AI agent frameworks
Skills:
containerization , Machine Learning, Cnn, Vercel, Deep Learning, Devops, React, MLops, Docker, FastAPI, Kubernetes, Python, Transformer, AI ML fundamentals, GenAI Applications, Data Analysis, Cloud Infrastructure Development
Skills:
audit trail , Templates, Logging, Microservices, LLMs, reusable components, prompt injection defenses, ML APIs, PII handling, feedback capture, RAG agents, internal AI tooling, SDKs, context assembly tools, embeddings, online evaluation hooks, workflow agent pipelines
Skills:
MLops, Docker, Python, embeddings, vector databases, Pinecone, OpenAI libraries, LLM techniques, prompt engineering, chain-of-thought prompting, chunking, FAISS, OpenAI APIs, retrieval, dynamic decision-making flows, agentic architectures, AI ML solution deployment, LLM concepts
Skills:
CDK, Typescript, FastAPI, Python, Terraform, Docker, Flask, OpenAI, LlamaIndex, Google, Azure OpenAI, LangChain, AWS Bedrock, Anthropic
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