Job Description

Ciklum is looking for a Architect FS with AI role to join our team full-time in Ukraine.

We 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.

About the role:

As a Architect FS with AI role, become a part of a cross-functional development team engineering experiences of tomorrow. We’re looking for a senior engineer who can build AI native products on top of reliable, secure, high quality data systems. Someone who has experience shipping production level software for high trust workflows, understands data pipelines and data quality deeply, can deploy safe agentic systems, and knows how to design robust architecture that scales. This role is for someone who has shipped production software at scale, understands data pipelines and data quality deeply, and knows how to deploy AI systems that are useful, observable, and safe. You should be practical, security-minded, customer-conscious, and comfortable owning systems end-to-end: from architecture and implementation through production monitoring and iteration. You’ll work across the full stack: data ingestion, transformation, storage, APIs, product surfaces, AI workflows, agentic systems, and observability.

Responsibilities:

• You will design and ship production-grade systems that combine software engineering, data infrastructure, and AI, including:
• Building secure, scalable full-stack product features
• Designing data models, APIs, integrations, and backend architecture
• Creating reliable data pipelines with strong validation and observability
• Shipping high value high trust AI/LLM-powered features
• Building safe agentic workflows with scoped tools, permissions, logging, evals, and failure handling
• Debugging issues across ingestion, transformation, database, API, UI, and AI context
• Designing systems with security, privacy, auditability, and observability

Requirements:

• You have strong production engineering judgment and can move quickly without compromising reliability, data integrity, and security:
• 8+ years building production software
• Strong TypeScript, SQL, and Python experience
• Deep backend architecture, API, data modeling, and production debugging skills
• Significant experience with data pipelines, integrations, or data-heavy systems
• Experience building systems that handle sensitive, regulated, and high trust data
• Production experience shipping robust AI/LLM-powered features
• Strong understanding of evals, hallucinations, malformed outputs, retrieval quality, latency, cost, model drift, and provider risk
• Good judgment about when to use an LLM, when to use retrieval, when to improve the data foundation, and when deterministic code is the better answer
• Excellent written and verbal communication in English
• High ownership, high agency, and low ego
• AI safety and security:
• You know how to build AI systems that are useful without being reckless
• You understand prompt injection, permission boundaries, data exfiltration risk, secrets handling, audit logs, and human in the loop review. You treat model context as untrusted input and design agent systems with scoped tools, explicit permissions, logging, evals, and graceful failure modes
• Security is non-negotiable. You should be comfortable with access control, Postgres RLS, PII handling, secrets management, audit trails, least privilege, secure integrations, and safe use of third-party APIs
• You’ll be especially strong if:
• You have built sturdy data pipelines customer facing products rely on
• You care about data correctness before AI or dashboards depend on it
• You can trace a bad number across ingestion, transformation, database, API, UI, and AI context
• You think naturally in failure modes: stale data, duplicate events, schema drift, partial writes, bad joins, expired tokens, provider outages, and malformed model outputs
• You have worked in high trust data environments such as finance, investment, legal, healthcare, or enterprise saas
• You have experience with Supabase, Postgres RLS, Deno, Modal, embeddings, vector search, transcription, GPU workloads, or similar infrastructure
• You have worked with data validation, reconciliation, lineage, observability, or audit systems
• You have experience with AI evals, AI observability, agent testing, or red-teaming AI systems

What’s in it for you?

• Strong community: Work alongside top professionals in a friendly, open-door environment
• Growth focus: Take on large-scale projects with a global impact and expand your expertise
• Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
• Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
• Flexibility: Enjoy radical flexibility – work remotely or from an office, your choice
• Care: We’ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations

About us:

At 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.

As one of Ukraine’s largest IT companies and a top employer recognized by Forbes, we’ve spent over 20 years delivering meaningful tech solutions. We proudly support diverse talent and military veterans, recognizing their unique skills and perspectives they bring to shaping the future.

Explore, empower, engineer with Ciklum!

Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

#LI-NV1