{"id":3567594,"url":"https://alion.io/job/ciklum-senior-artificial-intelligencemachine-learning-engineer-10","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":null},"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":102000,"max_usd":236000,"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":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"GraphDB","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Jira","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"pgvector","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Hallucination","optional":true},{"name":"LLM Evaluation","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-10-16T08:07:05Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-11-01T16:03:52Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team 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, you'll become a part of a cross-functional development team engineering experience of tomorrow.\nResponsibilities:\nAgent Development: Design, build, and test production-grade agents (e.g., Lease Abstraction, CAM Reconciliation) using the Prodigy framework as a baseline\nSDK & Gateway Engineering: Develop a lightweight Python SDK to interface between agents and the platform Control Plane, abstracting complex LLM routing to providers like AWS Bedrock and Anthropic\nKnowledge Engineering: Build and configure RAG (Retrieval-Augmented Generation) knowledge bases and GraphDB mappings to provide agents with secure, domain-specific context\nSafety & Governance: Implement \"Human-in-the-Loop\" (HITL) escalation interfaces, confidence thresholds, and strict egress controls to prevent data exfiltration. Ensure all AI solutions comply with security, data privacy, and responsible-AI standards\nOptimization: Configure \"Agent Overrides\" and token optimization strategies (e.g., \"balanced\" vs. \"perfectionist\" consumption) via configurable workflows\nEnd-to-End Development: Lead the design, development, and deployment of advanced AI systems across Data Science and AI Engineering domains Contribute hands-on to development activities, from experimentation and prototyping to production-grade implementation\nArchitecture & Pipelines: Architect and implement scalable AI pipelines and LLM-driven applications, including RAG, orchestration, and multi-agent systems\nMLOps / LLMOps: Apply MLOps and LLMOps best practices for CI/CD, observability, evaluation, and continuous improvement of AI models and pipelines\nEcosystem Integration: Integrate AI services with enterprise platforms (e.g., Confluence, Jira, GitHub, CRM, ERP) and ensure seamless interoperability\nCross-Functional Collaboration: Collaborate with cross-functional engineering, data, and product teams to align technical solutions with client and business objectives\nInnovation: Drive innovation through internal frameworks and accelerators\nRequirements:\nAI Ecosystem: Extensive experience with Python, LangChain, and LangSmith; familiarity with the Prodigy framework is a significant advantage\nAgentic Intelligence: Proven track record building multi-step reasoning chains, tool-use protocols, and state management for autonomous agents\nData Architecture: Practical experience with Vector Databases (ChromaDB, PGVector) and building ETL \"Data Engines\" for secure agent consumption via MCP\nInfrastructure: Understanding of containerization (Docker/K8s) and isolated runtimes such as Firecracker MicroVMs for agent sandboxing\nIntegration: Experience integrating AI solutions with enterprise identity providers like WorkOS for multi-tenancy\nWorkflow Orchestration: Experience with Temporal for managing long-running, multi-stage agentic workflows\nDesirable:\nDomain Expertise: Familiarity with Commercial Real Estate workflows (Lease accounting, CAM reconciliation)\nEvals Literacy: Experience building programmatic \"Evaluation Harnesses\" and testing against \"Golden Datasets\" to measure hallucination rates\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 Program 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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