SIGN IN
Artificial Intelligence Engineer jobs in United States
info-icon
This job has closed.
company-logo

CoreAi Consulting · 1 month ago

Artificial Intelligence Engineer

CoreAi Consulting is seeking a Software Engineer specializing in GenAI and Cloud Engineering to design and build AI-driven automation platforms. The role involves developing Python-based, cloud-native applications that leverage advanced AI technologies to enhance customer engagement and streamline service onboarding.
Artificial Intelligence (AI)Information TechnologyProperty & Casualty InsuranceRisk Management
check
H1B Sponsor Likelynote
Hiring Manager
Rajesh Kumar
linkedin

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

Qualification

PythonFastAPIFlaskGenAI applicationsLangChainLangGraphLlamaIndexRetrieval-Augmented Generation (RAG)Vector databasesPineconeFAISSRedisPgvectorOpenSearchWeaviateAgentic AI workflowsTool-calling systemsMemory/context managementPrompt engineeringLLM behaviorHallucination mitigationOutput validationResponse groundingAWS BedrockOpenAI APIsAnthropicAWS LambdaAWS ECSAWS EKSAWS S3

Required

5+ years of professional software engineering experience in backend, cloud-native, AI/ML, or platform engineering
Strong Python development expertise with frameworks such as FastAPI, Flask, or similar backend frameworks
Hands-on experience building production GenAI applications, not just experimentation or POCs
Strong experience with LangChain, LangGraph, LlamaIndex, or comparable AI orchestration frameworks
Experience designing and implementing RAG architectures, including ingestion, chunking, embeddings, retrieval optimization, and grounding strategies
Hands-on experience with vector databases such as Pinecone, FAISS, Redis, pgvector, OpenSearch, Weaviate, or similar
Experience building agentic workflows, tool-calling systems, memory/context management, and autonomous decision workflows
Solid understanding of prompt engineering, LLM behavior, hallucination mitigation, output validation, and response grounding techniques
Experience integrating with AWS Bedrock, OpenAI APIs, Anthropic, or equivalent LLM platforms
Strong AWS cloud experience, especially with Lambda, ECS/EKS, S3, DynamoDB, API Gateway, IAM, CloudWatch, and serverless architectures
Experience with Docker, Kubernetes, GitHub Actions, CI/CD pipelines, and infrastructure automation (CloudFormation/CDK/Terraform)
Understanding of distributed systems, API design, event-driven architectures, and microservices
Experience working in security-sensitive, compliance-heavy, or enterprise regulated environments

Preferred

Experience in cryptography, PKI, certificate management, enterprise security services, or cybersecurity platforms
Exposure to MCP (Model Context Protocol), custom AI tool integrations, or enterprise AI agent frameworks
Experience implementing AI observability, evaluation pipelines, or model performance monitoring
Familiarity with secure AI governance and responsible AI practices

Company

CoreAi Consulting

linkedincrunchbase
company-logo
From strategic consulting to solution development and ongoing support, our comprehensive generative AI services are specifically designed to propel advancements within your business.

H1B Sponsorship

CoreAi Consulting has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
91%
Represents job field similar to this job
Engineering and Development
Product Management
Trends of Total Sponsorships
*2026 (5)
2025 (17)
2024 (1)

Funding

Current Stage
Early Stage
Company data provided by crunchbase