AI Engineer / AI Agent Developer

Zelh; United States; Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Remote or office work

Equipment provided

Paid time off

English courses

Flexible collaboration options

Performance bonus opportunities

Job summary

Zelh ищет практического инженера по AI, чтобы строить и внедрять автономные AI‑агенты и рабочие процессы. Вы будете соединять AI‑модули с внешними системами, настраивать вызовы инструментов и развивать end‑to‑end решения.

Требуется сильный бэкграунд в Python/JS, опыт с LLM и API поставщиков, а также способность переносить концепции в рабочие, масштабируемые сервисы. Условия включают удалённую или офисную работу в США и конкурентную оплату в USD.

Qualifications

• 2+ года опыта в Software Engineering, Backend или AI инженеринге.

Responsibilities

• Разрабатывать и внедрять пользовательские AI-агенты и автономные системы.

Skills

Python

JavaScript/TypeScript

LLM integration

AI agent architectures

REST APIs

Docker/CI-CD

Cloud platforms (AWS/Azure/GCP)

English (B2+)

Problem solving

Tools

LangChain

LangGraph

CrewAI

AutoGen

OpenAI API

Anthropic API

Pinecone/Weaviate/Chroma

Job description

Описание:

Zelh is a fast-growing, passionate outsourcing company. Our mission is to be the most reliable logistics and IT provider in the industry by offering and maintaining consistently high-quality services. We are looking for a hands‑on AI Engineer / AI Agent Developer with a strong software engineering background and practical experience designing, developing, and deploying AI‑powered solutions. In this role, you will be responsible for building intelligent AI agents and automation systems from the ground up, integrating them into existing business environments, and transforming business requirements into practical, scalable AI solutions. The ideal candidate is not just familiar with AI tools but has the technical ability to build functional AI agents, connect them with external systems and APIs, implement autonomous workflows, and take solutions from initial concept to production.

Задачи:

• Design, develop, and implement custom AI agents tailored to specific business needs and operational requirements.


• Build AI‑powered applications and autonomous agent‑based systems from scratch, taking ownership of the entire development lifecycle.


• Design and develop intelligent workflows that allow AI agents to perform tasks, process information, interact with external tools, and make decisions based on defined objectives.


• Integrate Large Language Models (LLMs) and generative AI technologies into business applications and existing operational workflows.


• Work with LLM APIs and providers such as OpenAI, Anthropic, and other relevant AI platforms.


• Develop agent capabilities, including tool calling, function calling, context management, memory, and multi‑step task execution.


• Build and maintain AI‑driven automation solutions to reduce manual work, streamline business processes, and improve operational efficiency.


• Integrate AI agents with existing business systems, databases, third‑party platforms, and internal tools through APIs and custom integrations.


• Develop backend services and supporting infrastructure required to run AI‑powered applications and agent workflows.


• Implement Retrieval‑Augmented Generation (RAG) solutions and knowledge retrieval systems where required.


• Design and implement single‑agent and multi‑agent architectures depending on project requirements.


• Test, evaluate, debug, and optimize AI agents to improve accuracy, reliability, performance, and cost efficiency.


• Implement appropriate validation mechanisms, error handling, guardrails, and monitoring to ensure reliable AI outputs and controlled execution.


• Collaborate with business stakeholders and technical teams to identify automation opportunities, understand business challenges, and translate them into technical solutions.


• Take ownership of AI projects from discovery and technical design through development, deployment, documentation, and continuous improvement.


• Maintain technical documentation and provide recommendations on AI architecture, technologies, and implementation approaches.

Требования:

• 2+ years of experience in Software Engineering, Backend Development, AI Engineering, or a related technical role.


• Practical, hands‑on experience building and developing AI agents or AI‑powered applications.


• Strong programming skills in Python and/or JavaScript/TypeScript.


• Experience working with Large Language Models (LLMs) and integrating generative AI APIs into applications.


• Practical experience with OpenAI API, Anthropic API, or other LLM providers.


• Understanding of AI agent architecture, including agent workflows, tool calling, function calling, context handling, and task orchestration.


• Experience working with REST APIs, third‑party integrations, and backend services.


• Ability to design, develop, and deploy working AI solutions rather than simply configure or use existing AI tools.


• Understanding of software development principles, application architecture, debugging, testing, and version control.


• Experience translating business requirements into technical solutions and independently driving implementation.


• Ability to troubleshoot complex technical problems and optimize solutions for performance and reliability.


• Good analytical thinking, problem‑solving skills, and attention to detail.


• Strong communication skills and ability to collaborate with both technical and non‑technical stakeholders.


• English proficiency at B2 level or higher.


• Experience with AI agent frameworks and orchestration tools such as LangChain, LangGraph, CrewAI, AutoGen, or similar technologies.


• Experience building multi‑agent systems and autonomous AI workflows.


• Knowledge of Retrieval‑Augmented Generation (RAG), embeddings, semantic search, and vector databases such as Pinecone, Weaviate, Chroma, or similar.


• Experience with cloud platforms such as AWS, Azure, or Google Cloud.


• Experience deploying AI applications using Docker, CI/CD pipelines, and cloud infrastructure.


• Familiarity with AI evaluation frameworks, observability, monitoring, and performance optimization.


• Experience with databases, including SQL and NoSQL solutions.


• Knowledge of prompt engineering, structured outputs, AI safety, and LLM guardrails.


• Experience integrating AI solutions into CRM, ATS, ERP, or other business systems.


• Previous experience delivering AI automation solutions for real business processes or enterprise environments.


• A portfolio of AI agents, applications, or projects demonstrating hands‑on implementation skills.

Условия:

Working schedule: Monday‑Friday 8 am‑5 pm EST Competitive salary in USD Performance‑based bonus opportunities Remote or office work (depending on location) Equipment provided Paid time off English courses Flexible collaboration options depending on project requirements: Opportunity to work on practical AI projects and build solutions that address real business challenges. Opportunity to work with modern AI technologies, LLMs, and agent‑based architectures. A collaborative environment with room for technical ownership, experimentation, and professional development. If you're passionate about logistics, enjoy building customer relationships, and thrive in a fast‑moving environment where every day brings new challenges, we'd love to hear from you and welcome you to the Zelh team.