{"id":4032441,"url":"https://alion.io/job/zelh-ai-engineer-ai-agent-developer-2","title":"AI Engineer / AI Agent Developer","company":{"id":4531508,"name":"Zelh","domain":"zelh.com","url":"https://alion.io/company/zelh-2","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":{"label":"EST","utc_offset_min":-5,"utc_offset_max":-5},"hiring_geo_confidence":"structured","locations":["Belgrade, Serbia"],"countries":["RS"],"hiring_countries":["RS"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Chroma","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"JavaScript","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"Weaviate","optional":false}],"status":"live","first_seen_at":"2026-11-09T12:31:22Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-10T19:02:04Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Zelh is a fast-growing, passionate outsourcing company.\nOur mission is to be the most reliable logistics and IT provider in the industry by offering and maintaining consistently high-quality services.\nWe 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.\nIn 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.\nThe 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.\nResponsibilities and Duties:\nDesign, develop, and implement custom AI agents tailored to specific business needs and operational requirements.\n\nBuild AI-powered applications and autonomous agent-based systems from scratch, taking ownership of the entire development lifecycle.\n\nDesign and develop intelligent workflows that allow AI agents to perform tasks, process information, interact with external tools, and make decisions based on defined objectives.\n\nIntegrate Large Language Models (LLMs) and generative AI technologies into business applications and existing operational workflows.\n\nWork with LLM APIs and providers such as OpenAI, Anthropic, and other relevant AI platforms.\n\nDevelop agent capabilities, including tool calling, function calling, context management, memory, and multi-step task execution.\n\nBuild and maintain AI-driven automation solutions to reduce manual work, streamline business processes, and improve operational efficiency.\n\nIntegrate AI agents with existing business systems, databases, third-party platforms, and internal tools through APIs and custom integrations.\n\nDevelop backend services and supporting infrastructure required to run AI-powered applications and agent workflows.\n\nImplement Retrieval-Augmented Generation (RAG) solutions and knowledge retrieval systems where required.\n\nDesign and implement single-agent and multi-agent architectures depending on project requirements.\n\nTest, evaluate, debug, and optimize AI agents to improve accuracy, reliability, performance, and cost efficiency.\n\nImplement appropriate validation mechanisms, error handling, guardrails, and monitoring to ensure reliable AI outputs and controlled execution.\n\nCollaborate with business stakeholders and technical teams to identify automation opportunities, understand business challenges, and translate them into technical solutions.\n\nTake ownership of AI projects from discovery and technical design through development, deployment, documentation, and continuous improvement.\n\nMaintain technical documentation and provide recommendations on AI architecture, technologies, and implementation approaches.\n\nRequirements\n2+ years of experience in Software Engineering, Backend Development, AI Engineering, or a related technical role.\n\nPractical, hands-on experience building and developing AI agents or AI-powered applications.\n\nStrong programming skills in Python and/or JavaScript/TypeScript.\n\nExperience working with Large Language Models (LLMs) and integrating generative AI APIs into applications.\n\nPractical experience with OpenAI API, Anthropic API, or other LLM providers.\n\nUnderstanding of AI agent architecture, including agent workflows, tool calling, function calling, context handling, and task orchestration.\n\nExperience working with REST APIs, third-party integrations, and backend services.\n\nAbility to design, develop, and deploy working AI solutions rather than simply configure or use existing AI tools.\n\nUnderstanding of software development principles, application architecture, debugging, testing, and version control.\n\nExperience translating business requirements into technical solutions and independently driving implementation.\n\nAbility to troubleshoot complex technical problems and optimize solutions for performance and reliability.\n\nGood analytical thinking, problem-solving skills, and attention to detail.\n\nStrong communication skills and ability to collaborate with both technical and non-technical stakeholders.\n\nEnglish proficiency at B2 level or higher.\n\nWill Be a Plus:\nExperience with AI agent frameworks and orchestration tools such as LangChain, LangGraph, CrewAI, AutoGen, or similar technologies.\n\nExperience building multi-agent systems and autonomous AI workflows.\n\nKnowledge of Retrieval-Augmented Generation (RAG), embeddings, semantic search, and vector databases such as Pinecone, Weaviate, Chroma, or similar.\n\nExperience with cloud platforms such as AWS, Azure, or Google Cloud.\n\nExperience deploying AI applications using Docker, CI/CD pipelines, and cloud infrastructure.\n\nFamiliarity with AI evaluation frameworks, observability, monitoring, and performance optimization.\n\nExperience with databases, including SQL and NoSQL solutions.\n\nKnowledge of prompt engineering, structured outputs, AI safety, and LLM guardrails.\n\nExperience integrating AI solutions into CRM, ATS, ERP, or other business systems.\n\nPrevious experience delivering AI automation solutions for real business processes or enterprise environments.\n\nA portfolio of AI agents, applications, or projects demonstrating hands-on implementation skills.\nWorking Conditions\n\nWorking schedule: Monday-Friday 8 am-5 pm EST\n\nCompetitive salary in USD\n\nPerformance-based bonus opportunities\n\nRemote or office work (depending on location)\n\nEquipment provided\n\nPaid time off\n\nEnglish courses\n\nFlexible collaboration options depending on project requirements:\n\nOpportunity to work on practical AI projects and build solutions that address real business challenges.\n\nOpportunity to work with modern AI technologies, LLMs, and agent-based architectures.\n\nA collaborative environment with room for technical ownership, experimentation, and professional development.\n\nIf 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 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