{"id":3567539,"url":"https://alion.io/job/ciklum-senior-artificial-intelligencemachine-learning-engineer-7","title":"Senior Artificial Intelligence/Machine Learning Engineer","company":{"id":181259,"name":"Ciklum","domain":"ciklum.com","url":"https://alion.io/company/ciklum","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-02T06:13:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["BR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":104000,"max_usd":240000,"period":"year","method":"global_role_seniority_cell","sample_n":2365},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"API Gateway","optional":false},{"name":"CI/CD","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Git","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"LLM","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Prompt Engineering","optional":true}],"status":"live","first_seen_at":"2026-08-13T16:17:29Z","employer_posted_date":"2026-08-13","last_verified_at":"2026-11-02T06:00:31Z","board_verified":true,"closed_at":null,"days_open":80,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":80},"description":"Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team full-time in Brazil.\nWe are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.\nAbout the role:\nAs a Senior Artificial Intelligence/Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.\nThis role is responsible for developing and enhancing enterprise Generative AI capabilities within the MALTS platform, accelerating AI adoption through reusable frameworks, agentic services, and self-service platform components. The engineer will contribute to the development of scalable GenAI, Data Science, and AI/ML lifecycle capabilities that enable faster delivery of business solutions across Consumer, Banking, and Wealth organizations.\nThis is a hands-on software engineering role focused on building enterprise-grade Generative AI, Data Science, and AI Platform capabilities within client's strategic AI ecosystem. The engineer will work as an individual contributor responsible for designing, developing, and delivering reusable GenAI platform services, frameworks, APIs, and application components that support AI model development, deployment, inferencing, automation, and governance.\nThe successful candidate will partner with senior engineers, architects, product owners, and data scientists to develop scalable, secure, and resilient solutions leveraging modern AI frameworks, cloud-native technologies, distributed computing platforms, and enterprise engineering practices.\nThis role is ideal for an engineer passionate about Generative AI, application development, platform engineering, automation, and building reusable capabilities that accelerate enterprise AI adoption.\nResponsibilities:\nDevelop and enhance enterprise Generative AI platform capabilities, reusable services, and self-service tools\nDesign and build AI-powered applications, agentic workflows, RAG solutions, and MCP-enabled services\nDevelop scalable APIs, microservices, and platform components supporting AI/ML lifecycle management\nBuild and maintain frameworks supporting model development, fine-tuning, deployment, inferencing, monitoring, and observability\nImplement event-driven and streaming solutions leveraging technologies such as Kafka and distributed processing platforms\nContribute to CI/CD pipelines, automation frameworks, testing strategies, and DevOps practices\nCollaborate with platform engineers, architects, data scientists, and business stakeholders to deliver new capabilities\nParticipate in design discussions, code reviews, sprint planning, story refinement, and estimation activities\nEnsure solutions meet enterprise standards for security, scalability, governance, resiliency, and operational excellence\nSupport platform observability, monitoring, and performance optimization initiatives\nContinuously evaluate emerging AI technologies and contribute innovative solutions to enhance platform capabilities\nCore Engineering Responsibilities:Develop code and automated tests to deliver stories and requirements meeting quality and compliance standards\nParticipate in application design leveraging data, application, integration, and platform architecture patterns\nCollaborate in requirement analysis, story refinement, and solution design activities\nEstimate and deliver assigned work within Agile development cycles\nBuild agentic applications, AI assistants, workflow automation capabilities, and event-driven services using Kafka, containers, and MCP architectures\nDeliver secure, scalable, observable, and resilient software solutions aligned with enterprise standards\nTroubleshoot, optimize, and maintain platform services to ensure operational excellence\n\nRequirements:\nBachelor’s or master’s degree in computer science, Engineering, Data Science, or a related technical discipline\n6+ years of software engineering experience with strong expertise in Python-based application development\nExperience developing AI/ML, Data Science, Data Engineering, or analytics applications in enterprise environments\nStrong understanding of modern Generative AI and Data Science platform architectures, including compute-storage separation, virtual environments, containers, Jupyter, and VS Code-based development\nHands-on experience developing AI/ML and GenAI solutions using modern frameworks and tools\nExperience building scalable REST APIs and microservices using FastAPI or similar frameworks\nExperience developing applications leveraging vector stores, inference services, model-serving technologies, and AI orchestration frameworks\nStrong Python programming skills with experience building production-grade applications and reusable libraries\nExperience with AI/ML lifecycle management frameworks such as MLFlow, Kubeflow, model deployment, fine-tuning, and inference frameworks\nExperience building applications with API Gateway integration, JWT-based authentication, and enterprise security controls\nUnderstanding of metadata management, data lineage, governance principles, and semantic layer concepts\nExperience working within large-scale engineering organizations utilizing Git-based development, CI/CD pipelines, automated testing, and collaborative development practices\nFamiliarity with cloud-native development, containers, Kubernetes, and distributed computing environments\nCore Skills:Python\nGenerative AI / LLMs\nRAG & Agentic AI\nMCP\nData Engineering\nKubernetes & Containers\nCloud Engineering\nCI/CD & DevSecOps\nKafka/Event Streaming\nAPIs & Microservices\nAI Platform Engineering\n\nDesirable:\nExperience developing Retrieval-Augmented Generation (RAG) solutions\nExperience building MCP servers, AI agents, and multi-agent orchestration frameworks\nKnowledge of LLM integration, prompt engineering, model evaluation, and AI observability\nFamiliarity with enterprise AI governance, responsible AI, metadata, and data quality concepts\nExposure to enterprise-scale Generative AI platforms and self-service developer ecosystems\nWhat`s in it for you?\nCare: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance and mental health programs, 5 undocumented sick-leave days per year\nTailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications\nGrowth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally\nLong-term employment with 20 working-days paid vacation and local bank holidays\nFlexibility: 100% remote work mode\nOpportunities: we value our specialists and always find the best options for them. Our Internal Mobility\nProgram helps change a project if needed to help you grow, excel professionally and fulfill your potential\nGlobal impact: work on large-scale projects that redefine industries with international and fast-growing clients\nWelcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events\nAbout us:\nAt Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you’ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress.\nAs we expand into Latin America, every Ciklumer is helping to shape our story. Collaborate with seasoned experts and make a global impact backed by two decades of industry leadership.\nExplore, empower, engineer with Ciklum!\nInterested already? We would love to get to know you! Submit your application. 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