Senior AI Engineer

This is a remote position.

The ideal candidate combines deep software engineering expertise with practical experience in modern AI platforms, vector databases, and enterprise integration patterns. The candidate must be capable of owning the end-to-end lifecycle of AI agent implementations—from architecture and development through deployment, production support, and enhancement This is WFH role working in US EST hours. 

Required Technical Skills

• 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.
  
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• 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.
  
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• 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.