Artificial Intelligence Engineer
Phoenix, Arizona, United States of America
Full Time
3 weeks ago
H1B Sponsor Likely
Key skills
PythonAIMLGenAIRAGLangChainLlamaIndexAgenticLangGraphAWSECSEKSLambdaS3DynamoDBBedrockAPI Gateway
About this role
CoreAi Consulting is seeking a Software Engineer with expertise in AI-driven automation platforms to enhance customer engagement and streamline onboarding into enterprise cryptographic services. The role involves developing Python-based, cloud-native applications using advanced AI techniques and frameworks to automate workflows and improve service delivery.
Responsibilities:
- Design and develop Python-based AI applications and microservices to automate internal customer engagement, onboarding, and service triage workflows
- Build and deploy GenAI-powered solutions using LLMs, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) architectures
- Design and implement agentic AI workflows using frameworks such as LangChain, LangGraph, LlamaIndex, or equivalent orchestration frameworks
- Develop intelligent assistants capable of understanding natural language requests, reasoning across enterprise knowledge, and recommending appropriate cryptographic services
- Build and maintain document ingestion pipelines, chunking strategies, embedding workflows, vector indexing, and contextual retrieval systems for enterprise knowledge access
- Implement multi-step AI orchestration pipelines, including planning, tool calling, memory/context handling, and workflow execution
- Integrate AI solutions with AWS Bedrock or equivalent foundation model platforms, including model selection, prompt optimization, and inference orchestration
- Develop and maintain cloud-native microservices using AWS services such as Lambda, ECS/EKS, API Gateway, S3, DynamoDB, and event-driven architectures
- Automate manual analysis, routing, and triage processes using a combination of AI/ML models, deterministic logic, and workflow automation
- Collaborate with product, architecture, security, and compliance teams to translate business and regulatory requirements into scalable technical solutions
- Monitor, troubleshoot, and optimize production AI workloads for latency, hallucination control, reliability, observability, and cost efficiency