{"id":3291824,"url":"https://alion.io/job/clanx-senior-applied-ai-engineer-remote","title":"Senior Applied AI Engineer - Remote","company":{"id":673123,"name":"Clanx","domain":"clanx.com","url":"https://alion.io/company/clanx","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":"remote","remote_scope":"worldwide","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":102000,"max_usd":235000,"period":"year","method":"global_role_seniority_cell","sample_n":2365},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vertex AI","optional":false}],"status":"closed","first_seen_at":"2026-10-11T17:27:22Z","employer_posted_date":null,"last_verified_at":"2026-10-29T14:15:45Z","board_verified":false,"closed_at":"2026-10-29T14:15:45Z","days_open":17,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":17},"description":"Applied AI Engineer with 3+ years of experience in core machine learning, model training, fine-tuning, and production deployment, building scalable AI systems and LLM-powered applications.\nCompany DetailsConqr AI is an early-stage startup building AI solutions for regulated, document-heavy professional workflows. The company focuses on privacy, security, reliability, and delivering high-impact AI products for enterprise users.\nWebsite: \nRequirements\nBachelor's or Master's degree in Computer Science, Engineering, or a related field.\n\n3+ years of experience as an AI Engineer, Machine Learning Engineer, Applied AI Engineer, or similar role.\n\nStrong experience training, fine-tuning, and deploying machine learning models to production.\n\nProficiency in Python and ML frameworks such as PyTorch, TensorFlow, and scikit-learn.\n\nExperience operating and maintaining production ML systems.\n\nHands-on experience with AWS, GCP, or Azure cloud platforms.\n\nFamiliarity with cloud ML services such as SageMaker, Vertex AI, or similar platforms.\n\nStrong understanding of API design and distributed system architecture.\n\nExperience implementing MLOps practices, CI/CD pipelines, and model monitoring.\n\nExperience with Docker and Kubernetes.\n\nKnowledge of PostgreSQL and modern data infrastructure.\n\nExperience with LLMs, RAG systems, and vector databases is a strong plus.\n\nExcellent written and verbal communication skills in English.\n\nResponsibilities\nOwn end-to-end delivery of production AI and ML systems from experimentation to deployment.\n\nTrain, fine-tune, and optimize machine learning models, including LLMs and open-weight models.\n\nBuild and maintain training, data processing, and inference pipelines.\n\nImprove model performance across accuracy, latency, reliability, and cost.\n\nImplement MLOps best practices for deployment, monitoring, CI/CD, and automated retraining.\n\nDevelop evaluation frameworks, benchmark datasets, and quality checks for production models.\n\nDesign and maintain scalable APIs and services that expose AI capabilities.\n\nCollaborate with Product, Backend, and Frontend teams to integrate AI into customer-facing workflows.\n\nMonitor production systems and continuously improve model and infrastructure performance.\n\nResearch and evaluate emerging AI techniques, tools, and frameworks.\n\nJob DetailsLocation: RemoteInterview Process\nRecruiter Screening\n\nHiring Manager Discussion\n\nApplied AI Technical Assessment\n\nFounder Round\n\nFinal HR Discussion\n\nImportant NoteClanX is a recruitment partner, helping Conqr AI hire an Applied AI Engineer.\nHighlightsBuild and deploy real-world AI systems, train and fine-tune models, and own the complete journey from research to production impact.\nOriginally posted on Himalayas","description_format":"text","description_chars":2739,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Consulting & Integration","IT Staffing & Staff 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