Eton Technologies

Senior AI Engineer

Eton Technologies

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Senior

Tech Stack

AngularAWSAzureCloudDockerElasticSearchERPFlaskJavaScriptKubernetesMicroservices.NETNode.jsPythonReactSQLTypeScriptVue.js

About the role

  • Design, build, implement, and support enterprise AI agents for customers in the Finance, Human Resources, and Operations domains.
  • Work directly with multiple US-based customers to deliver scalable, production-grade AI solutions using modern Large Language Models, RAG, and Hexagonal Architecture.
  • Own the end-to-end lifecycle of AI agent implementations—from architecture and development through deployment, production support, and enhancement.

Requirements

  • 10+ years of software engineering / IT experience.
  • Minimum 2+ years of hands-on experience developing Generative AI or Agentic AI solutions.
  • Strong proficiency in Python, including experience building AI services, APIs, orchestration frameworks, and automation.
  • Strong SQL skills with experience designing and querying relational databases.
  • Full stack development experience using: Backend: Python, FastAPI, Flask, Node.js, .NET, or similar Frontend: React, Angular, Vue, JavaScript / TypeScript REST APIs and microservices.
  • Deep experience with Large Language Models and AI platforms including: OpenAI / Azure OpenAI, Anthropic Claude, Google Gemini, Open-source LLMs such as Llama, Mistral, or similar.
  • Strong experience with: Retrieval-Augmented Generation (RAG), Embeddings and semantic search, Prompt engineering, Agent frameworks and orchestration, Vector databases.
  • Hands-on experience with vector database technologies such as Pinecone, Weaviate, Milvus, Chroma, FAISS, Elasticsearch Vector Search, or similar.
  • Experience with LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar AI agent frameworks.
  • Strong understanding of Hexagonal Architecture, Domain-Driven Design, microservices, and event-driven architectures.
  • Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
  • Experience with containerization and DevOps tools including Docker, Kubernetes, CI/CD pipelines, and Git.
  • Experience supporting enterprise customers in the USA.
  • Prior consulting or customer-facing delivery experience.
  • Experience integrating with enterprise platforms such as ERP, HRIS, CRM, or ticketing systems.
  • Familiarity with financial systems, HR systems, or operational platforms.
  • Experience implementing monitoring, logging, and evaluation frameworks for AI agents in production.
  • Strong communication and documentation skills.
  • Ability to work independently in a fast-paced client-facing environment.
  • Strong analytical and problem-solving skills.
  • Excellent communication skills with the ability to explain technical concepts to business users.
  • Ability to manage multiple customer implementations and support engagements simultaneously.
  • Strong ownership mindset and attention to detail.
Benefits
  • This is a remote position.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonSQLGenerative AIAgentic AILarge Language ModelsRetrieval-Augmented GenerationVector databasesHexagonal ArchitectureDomain-Driven DesignFull stack development
Soft Skills
communication skillsanalytical skillsproblem-solving skillsownership mindsetattention to detailindependencecustomer-facing experiencedocumentation skillsability to manage multiple implementationsfast-paced environment adaptability