Key Facts

Remote From:

Anywhere

Full time

Senior (5-10 years)

English

Hard Skills

Other Skills

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Communication
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Analytical Skills
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Multitasking
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Detail Oriented
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Consulting
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Problem Solving

Roles & Responsibilities

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
Full stack development experience with Backend: Python, FastAPI/Flask; Frontend: React/TypeScript; REST APIs and microservices

Requirements:

Own end-to-end lifecycle of AI agent implementations—from architecture and development through deployment, production support, and enhancements
Design, build, and deliver scalable, production-grade AI agents for customers in the Finance, HR, and Operations domains, collaborating with US-based clients
Leverage modern LLMs, Retrieval-Augmented Generation (RAG), and Hexagonal Architecture to implement AI solutions; establish monitoring, logging, and evaluation frameworks for AI agents in production
Work remotely with US EST hours, manage multiple customer implementations and support engagements, and communicate effectively with business users

Job description

This is a remote position.

We are seeking a highly experienced Senior AI Engineer with strong full stack development capabilities to design, build, implement, and support enterprise AI agents for customers in the Finance, Human Resources, and Operations domains. This role will work directly with multiple US-based customers to deliver scalable, production-grade AI solutions using modern Large Language Models, Retrieval-Augmented Generation (RAG), and Hexagonal Architecture.

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.
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.