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Open nowPosted 2 days ago

AI Engineer / AI Agent Developer

Zelh21 open roles

Where
Remote job, Remote
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Your applicationOpen nowAI Engineer / AI Agent DeveloperZelh · Remote job, Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Zelh's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Zelh postings stay open a median of 36 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted 2 days ago

Zelh median: 36 days open

The posting

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.

Responsibilities and Duties:

  • 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.
  • 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.

Will Be a Plus:

  • 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. Working Conditions
  • 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.

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  2. 25 readers review it

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