Senior AI Engineer

🕒 April 7

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Eton Technologies

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🤝 B2B

🏢 Enterprise

🤖 Artificial Intelligence

B2B • Enterprise • Artificial Intelligence

Eton Technologies is a B2B IT services and consulting firm that provides enterprise-focused digital transformation, managed services, offshore team solutions, and application development. As an Oracle Partner with expertise in Oracle Cloud and EBS and experience with Microsoft Azure, Dynamics 365 F&O, and Power Platform, Eton handles ERP, cloud development, BI & analytics, procurement transformation (source-to-pay), restaurant POS and hardware support, and AI/ML solutions. The company emphasizes offshore talent with onshore commitment, helpdesk and support services, and turnkey offshore team management for clients across multiple industries.

📋 Description

• 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.