{"id":724564,"url":"https://alion.io/job/nexxa-applied-ai-engineer-3","title":"Applied AI Engineer","company":{"id":678767,"name":"Nexxa.AI","domain":"nexxa.ai","url":"https://alion.io/company/nexxa","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-01T06:10:25Z"}},"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":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":147000,"max_usd":284000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1332},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"CLIP","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OCR","optional":false},{"name":"OpenCV","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"TensorFlow","optional":false},{"name":"TypeScript","optional":false},{"name":"YOLO","optional":false}],"status":"live","first_seen_at":"2026-06-17T00:19:08Z","employer_posted_date":"2026-06-17","last_verified_at":"2026-11-01T20:19:40Z","board_verified":true,"closed_at":null,"days_open":137,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":137},"description":"Nexxa.ai is building artificial super intelligence for heavy industries - enabling machines, systems and operations to think, decide and act autonomously across manufacturing, large-scale infrastructure, logistics and legacy environments.\nOur mission is to translate deep technical breakthroughs into operational reality, solving some of the hardest systems-level problems in industry.\nRole Overview\nWe’re looking for Applied AI Engineers to work as forward deployed directly with customers and lead the end-to-end delivery of high-impact technical solutions. You’ll embed deeply with customer teams, translating real-world challenges into production-ready systems that leverage Generative AI, Computer Vision, and Machine Learning.\nThis role is a blend of software engineering, ML engineering, architecture, and consulting. You’ll design and deploy solutions, integrate models, build custom workflows, and guide customers through successful implementation. This position requires frequent travel to customer sites.\nKey Responsibilities\nEngage directly with enterprise and strategic customers to understand their workflows, data, and technical requirements.\n\nArchitect, build, and deploy custom solutions leveraging GenAI, LLMs, Machine Learning and Vision models, and customer data sources.\n\nLead full project lifecycles: scoping, solution design, development, implementation, testing, deployment, and iteration.\n\nIntegrate and optimize AI/ML pipelines, including data preprocessing, prompt engineering, model selection, and evaluation.\n\nBuild reliable, scalable software integrations using APIs, cloud services, and containerized systems.\n\nTroubleshoot complex technical issues across the stack-applications, models, data pipelines, infrastructure, and integrations.\n\nAct as the customer’s trusted technical advisor, enabling adoption of new product capabilities and AI features.\n\nPartner closely with internal product and engineering teams to communicate customer feedback and shape roadmap direction.\n\nProduce high-quality documentation, architecture diagrams, runbooks, and technical assets for customer teams.\n\nMentor junior engineers and contribute to internal best practices for FDE delivery.\n\nQualifications\n5-10+ years in engineering roles such as Forward Deployed Engineer, ML Engineer, Software Engineer, Solutions Engineer, Technical Consultant, or similar.\n\nStrong proficiency in Python, JavaScript/TypeScript, Go, or similar production-oriented languages.\n\nHands-on experience with Machine Learning, including training, fine-tuning, evaluating, or deploying models.\n\nDirect experience with Generative AI (LLMs, multimodal models) and applying them to real-world problems.\n\nExposure to Computer Vision techniques (detection, segmentation, OCR, embeddings, multimodal pipelines).\n\nStrong knowledge of ML frameworks (PyTorch, TensorFlow, OpenCV, etc.).\n\nExperience with cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes).\n\nExcellent communication skills with both technical and non-technical audiences.\n\nComfort leading customer-facing engagements and guiding stakeholders through ambiguity.\n\nWillingness and ability to travel frequently.\n\nPreferred\nPrior experience in consulting, technical solutions, professional services, or customer-embedded technical roles.\n\nExperience with vector databases, embedding pipelines, or retrieval-augmented generation (RAG).\n\nExperience building APIs, microservices, or distributed systems.\n\nFamiliarity with MLOps tools (Docker, Kubernetes, model registries, CI/CD for ML).\n\nBackground in deploying or fine-tuning CV models (YOLO, SAM, CLIP, DETR, etc.).\n\nExperience in startup or high-growth environments.\n\nWhat We’re Looking For\nA customer-obsessed senior engineer who thrives in deeply technical, fast-moving environments.\n\nA creative problem solver who can translate vague requirements into robust, scalable solutions.\n\nSomeone excited to combine software engineering with real-world AI deployments.\n\nA leader who can own outcomes end-to-end and influence both customer and internal teams.\nWhy JoinNexxa.AI?\nInnovative Environment: Play a critical role in transforming heavy industries through groundbreaking AI and automation technologies.\n\nCollaborative Culture: Be part of a team that values innovation, discipline, and continuous improvement.\n\nProfessional Growth: Benefit from significant opportunities for career development and advancement.\n\nCompetitive Compensation: Enjoy a comprehensive salary and equity package reflective of your expertise and contributions.\n\nIf you're passionate about development and eager to shape the infrastructure powering advanced AI solutions, we'd love to 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