[Hiring] Senior Artificial Intelligence/Machine Learning Engineer @Ciklum

Role Description

Ciklum is looking for a Senior Artificial Intelligence/Machine Learning Engineer to join our team in Brazil. As a Senior Artificial Intelligence/Machine Learning Engineer, you'll become a part of a cross-functional development team engineering experience of tomorrow.

Responsibilities:

• Agent Development: Design, build, and test production-grade agents (e.g., Lease Abstraction, CAM Reconciliation) using the Prodigy framework as a baseline.
• SDK & 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.
• Knowledge Engineering: Build and configure RAG (Retrieval-Augmented Generation) knowledge bases and GraphDB mappings to provide agents with secure, domain-specific context.
• Safety & 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.
• Optimization: Configure "Agent Overrides" and token optimization strategies (e.g., "balanced" vs. "perfectionist" consumption) via configurable workflows.
• End-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.
• Architecture & Pipelines: Architect and implement scalable AI pipelines and LLM-driven applications, including RAG, orchestration, and multi-agent systems.
• MLOps / LLMOps: Apply MLOps and LLMOps best practices for CI/CD, observability, evaluation, and continuous improvement of AI models and pipelines.
• Ecosystem Integration: Integrate AI services with enterprise platforms (e.g., Confluence, Jira, GitHub, CRM, ERP) and ensure seamless interoperability.
• Cross-Functional Collaboration: Collaborate with cross-functional engineering, data, and product teams to align technical solutions with client and business objectives.
• Innovation: Drive innovation through internal frameworks and accelerators.

Qualifications

• Extensive experience with Python, LangChain, and LangSmith; familiarity with the Prodigy framework is a significant advantage.
• Proven track record building multi-step reasoning chains, tool-use protocols, and state management for autonomous agents.
• Practical experience with Vector Databases (ChromaDB, PGVector) and building ETL "Data Engines" for secure agent consumption via MCP.
• Understanding of containerization (Docker/K8s) and isolated runtimes such as Firecracker MicroVMs for agent sandboxing.
• Experience integrating AI solutions with enterprise identity providers like WorkOS for multi-tenancy.
• Experience with Temporal for managing long-running, multi-stage agentic workflows.

Requirements

• Familiarity with Commercial Real Estate workflows (Lease accounting, CAM reconciliation).
• Experience building programmatic "Evaluation Harnesses" and testing against "Golden Datasets" to measure hallucination rates.

Benefits

• Care: 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.
• Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications.
• Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally.
• Long-term employment with 20 working-days paid vacation and local bank holidays.
• Flexibility: 100% remote work mode.
• Opportunities: 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.
• Global impact: work on large-scale projects that redefine industries with international and fast-growing clients.
• Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events.