AI Engineer
Guidehouse
AWSAzureCloudDockerGoogle Cloud PlatformJavaScriptKubernetesMicroservicesPythonTerraformTypeScript
AI Engineering Lead
Vichara Technologies
full-time
Posted on:
Location Type: Remote
Location: Remote • New Jersey • 🇺🇸 United States
Visit company websiteSalary
💰 $200,000 - $300,000 per year
Job Level
Senior
Tech Stack
AWSAzureDockerElasticSearchKubernetesMongoDBNumpyPandasPrometheusPythonRedisSQL
About the role
- Architect, design, and lead multi-agent LLM systems using LangGraph, LangChain, and Promptfoo
- Build Retrieval-Augmented Generation (RAG) pipelines leveraging hybrid vector search
- Define system workflows for summarization, query routing, retrieval, and response generation
- Integrate GPT-4o, PaLM 2, and open-weight models for task-specific contextual Q&A
- Fine-tune transformer models for document classification, summarization, and sentiment analysis
- Implement multi-agent architectures with modular flows
- Architect ingestion pipelines for structured and unstructured data
- Deploy end-to-end AI systems on AWS EKS / Azure Kubernetes Service
Requirements
- 5+ years as an AI or ML Engineer
- LLMs & GenAI: GPT-4o, PaLM 2, LangGraph, LangChain, Promptfoo, SentenceTransformers
- RAG Frameworks: LanceDB, Pinecone, ElasticSearch, FAISS, MongoDB
- Agentic AI: LangGraph multi-agent orchestration, routing logic, task decomposition
- Fine-Tuning: BERT / domain-specific transformer tuning, evaluation framework design
- Infra & MLOps: FastAPI, Docker, Kubernetes (EKS/AKS), Redis Streams, Azure DevOps CI/CD
- Monitoring: OpenTelemetry, Signoz, Prometheus
- Languages & Tools: Python, SQL, REST APIs, Git, Pandas, NumPy
Benefits
- Health insurance
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
multi-agent systemsLLMsRetrieval-Augmented Generationfine-tuningtransformer modelsdocument classificationsentiment analysistask decompositionevaluation framework designhybrid vector search
