{"id":2850381,"url":"https://alion.io/job/trustmotion-senior-ai-engineer-llm-edge-ai","title":"Senior AI Engineer (LLM & Edge AI)","company":{"id":3840289,"name":"Trustmotion","domain":"trustmotion.com","url":"https://alion.io/company/trustmotion","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Belgrade, Serbia","Novi Sad, Serbia"],"countries":["RS"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":46000,"max_usd":119000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Edge AI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Hugging Face","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"Linux","optional":true},{"name":"Multimodal AI","optional":true}],"status":"live","first_seen_at":"2026-10-19T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-19T00:00:00Z","board_verified":false,"closed_at":null,"days_open":13,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":13},"description":"Join TrustMotion part of NXP\n\nTrustMotion part of NXP is looking for a Senior AI Engineer to join our growing team working on next-generation AI solutions for embedded platforms.\n\nThe role focuses on the development, architecture, fine-tuning, optimization, and deployment of Large Language Models (LLMs) and Vision Language Models (VLMs), with a strong emphasis on bringing AI from concept to execution on hardware platforms.\n\nWhat You Will Do: \n\nDesign, develop, and optimize AI solutions based on LLMs and VLMs\nIndependently solve complex AI engineering problems and drive their implementation\n\nContribute to the architecture and technical design of AI solutions\n\nFine-tune models for specific use cases and domains\n\nDevelop and maintain AI agents using modern agentic frameworks\n\nDesign and develop MCP tools and integrate them into AI agent workflows\n\nEvaluate model performance, accuracy, latency, and resource utilization\n\nDeploy and optimize AI models on embedded and edge computing platforms\n\nCreate proof-of-concepts and contribute to product development activities\n\nProvide technical guidance and support to less experienced team members\n\nStay up to date with emerging AI technologies and industry trends\n\nReference: 6EnrSpX09Cy4fWAYaI2D37tk5zg5MV9I9XNR8sUJ9QxlJFQSEkrJceIjVOSymugI\n\nWhat We Are Looking For:\n\nBSc or MSc in Computer Science, Electrical Engineering, Software Engineering, Artificial Intelligence, or a related field\n\n4+ years of relevant professional experience\n\nStrong programming skills\n\nGood understanding of machine learning and deep learning fundamentals\n\nHands-on experience with LLMs, VLMs, or other Generative AI systems\n\nExperience with model fine-tuning and evaluation techniques\n\nExperience using AI frameworks such as PyTorch, TensorFlow, Hugging Face, or similar\n\nStrong understanding of AI system design and software engineering best practices\n\nExperience with Agentic AI frameworks\nExperience with MCP tools and AI tool integration\n\nUnderstanding of version control systems and collaborative software development practices\n\nNice to Have: \n\nKnowledge of model optimization and edge AI deployment\n\nExperience with Linux environments\n\nExperience working with multimodal AI systems\n\nEmbedded systems experience, particularly in AI model deployment and performance optimization\n\nExperience mentoring or providing technical guidance to other engineers\n\nWhy Join Us\n\nWork at the intersection of AI and embedded systems\n\nDevelop solutions that run on real-world embedded hardware\n\nWork on challenging AI problems from architecture and development through deployment\n\nContinuous exposure to the latest industry trends, technologies, and best practices\n\nOpportunities to attend technical workshops, conferences, industry events, and go on project-related business travel\n\nwhat Can You Expect?\n\nContract Type\n\nThis role is offered as a full‑time position with providing long‑term stability and room for growth.\n\nDevelopment Opportunities\n\nWe believe that growing our people is key to growing our business. That’s why we offer a mix of online and offline learning opportunities to help you sharpen both your technical and soft skills.\n\nHiring Process\n\nApplying is quick and easy – just fill out the online form and upload your CV.\nIf your profile matches, you’ll have a short phone or video call with our technical team. If successful, you’ll get a chance to ask HR anything you need. We respond fast — unless we’re on vacation.\n\nWhat’s next\n\nIf you’re excited about this opportunity, we kindly invite you to apply!\n\nCandidates are invited to apply with the resume and motivation letter in English.\n\nAt the application stage, all candidates should have a valid visa and work permit to work in Serbia.\n\nIf you have any questions, we are happy to answer them. Please contact:\n\nMilana Stojsavljevic, Talent Acquisition Specialist.\n\nPlease note: The successful candidate may/will be responsible for security related tasks. 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