{"id":2868250,"url":"https://alion.io/job/umatr-forward-deployed-engineer-voice-ai-agentic-systems","title":"Forward Deployed Engineer | Voice AI & Agentic Systems","company":{"id":2053453,"name":"UMATR","domain":"umatr.io","url":"https://alion.io/company/umatr","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dubai, United Arab Emirates"],"countries":["AE"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":null,"max":38000,"currency":"AED","period":"month","gross":null,"usd_annual":124164},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"FastAPI","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Llama","optional":true},{"name":"OpenAI","optional":true},{"name":"Twilio","optional":true},{"name":"WebRTC","optional":true}],"status":"live","first_seen_at":"2026-10-19T07:29:33Z","employer_posted_date":"2026-10-19","last_verified_at":"2026-10-23T07:35:00Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Dubai, UAE Up to 38,000 AED per month tax-free\nWe're partnering with one of the region's fastest-growing AI startups, recently backed by a major funding round and building technology that's transforming how businesses communicate and operate.\nThey're developing AI-powered voice, chat and automation agents that help large enterprises automate customer interactions, streamline workflows and integrate AI into their everyday operations.\nWith demand for enterprise AI accelerating across the Middle East, they're expanding their engineering team and looking for people who want to build technology that's already making a real-world impact.\nAbout the Role\nWe're looking for a Forward Deployed Engineer to design, build and deploy production-ready AI agents across voice, chat and email.\nYou'll work with Python, LLMs, LangChain, LangGraph and Voice AI technologies, developing intelligent systems that automate real business workflows.\nThis is a highly hands-on role where you'll work closely with product teams and enterprise clients, taking AI solutions from initial prototypes through to production.\nResponsibilities\nDesign and deploy AI agents for voice, chat and workflow automation.\n\nBuild RAG pipelines and agentic workflows connecting LLMs with enterprise data.\n\nIntegrate Voice AI, speech-to-text (STT), text-to-speech (TTS) and telephony APIs.\n\nDevelop backend services and APIs using Python and FastAPI.\n\nIntegrate AI agents with enterprise platforms and external systems.\n\nDeploy and optimise AI applications for real-time performance, scalability and reliability.\n\nCollaborate with clients and product teams to deliver AI solutions.\n\nRequirements\n3+ years of experience in Software Engineering, AI Engineering or Machine Learning Engineering.\n\nStrong programming skills in Python or another backend language.\n\nHands-on experience building LLM applications, AI agents or RAG systems.\n\nExperience integrating external APIs and backend services.\n\nExposure to Voice AI, conversational AI or real-time communication technologies.\n\nFamiliarity with LangChain, LangGraph or similar agentic frameworks.\n\nComfortable working in a fast-paced startup environment.\n\nPreferred Skills\nTwilio, WebRTC or other telephony APIs.\n\nOpenAI, Llama or other LLM APIs.\n\nVector databases and retrieval systems.\n\nDocker and cloud platforms (AWS, Azure or GCP).\n\nMultilingual AI systems or Arabic language models.\n\nExperience building customer-facing AI products.\n\nInterested? 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