Jobs at Ciklum

Own digital marketing and qualified web lead generation, focusing on SEO, AEO, website performance, analytics, CMS management, content syndication, and conversion optimization. Manage GA4, Search Console, Tag Manager, Looker Studio, and SEO tools; improve rankings, AI search visibility, Core Web Vitals, landing pages, and lead funnels. Run A/B tests, monitor attribution and conversion quality, and collaborate with content, campaign, design, and development teams.

Lead design, development, and deployment of production-grade LLM and RAG-based AI solutions. Improve retrieval performance, build automated evaluation and validation frameworks, instrument pgvector retrieval KPIs, integrate metrics into CI/CD, and mentor mid-level engineers while driving technical reviews and best practices.

Design, build, and deploy customer-facing applications using Angular, TypeScript, RxJS, and JavaScript. Define scalable frontend architectures, develop reusable components, manage application lifecycles, lead code reviews, maintain quality, and support Agile delivery. Collaborate closely with US and vendor teams, including availability during staggered shifts for critical project phases.

Investigate and resolve mobile attribution and tracking issues across app and web journeys. Test deep links, SDKs, data layers, and advertising integrations; monitor Branch connections with Meta and Google Ads; validate tracking before and after releases; document issues and resolutions; support nontechnical stakeholders; and escalate architectural or cross-team issues when necessary.

Designs enterprise solution architectures across conversational AI, API, middleware, and data layers. Defines integration patterns, API contracts, security controls, identity approaches, and non-functional requirements. Produces architecture documentation, evaluates technical feasibility and delivery risks, and coordinates with client architects and system owners. The role requires cloud architecture, data integration, applied LLM expertise, CRM and ticketing integrations, and strong consulting communication skills.

Lead and execute firmware development for embedded devices from requirements to production. Design, code, test, debug, and optimize system software; interface with hardware; integrate and validate new products; support QA and post-production; assess third-party/open-source software; apply embedded design best practices; research and prototype proofs of concept; mentor junior engineers.

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Own, audit, validate, optimize, and modernize statistical models written in R. Build and deploy new predictive models and analytical features, improve production code quality, collaborate with data engineering, communicate technical findings to stakeholders, and mentor junior data scientists. The role requires advanced statistical modeling expertise, strong R proficiency, and experience improving complex algorithms.

Leads the transformation of software development into a governed AI-agentic lifecycle. Responsibilities include assessing SDLC automation readiness, designing agent orchestration architecture, implementing security and approval guardrails, selecting tooling, integrating CI/CD and code review systems, managing phased organizational rollout, training engineering teams, and reporting on ROI, risk, adoption, and operational outcomes.

Designs and implements web and API test automation frameworks, migrates automation to Playwright, integrates tests into CI/CD, and measures product quality. The role defines testing standards, develops functional UI and service-level tests, maintains testing infrastructure, conducts peer reviews, manages risks, documents strategies, reports quality outcomes, mentors team members, and advises QA teams. Requires strong JavaScript, testing methodologies, database, cloud DevOps, version control, and Agile expertise, with four hours of overlap with Central US hours.

Leads manual and automated testing across API, UI, regression, functional, and non-functional areas. Designs test plans, maintains test harnesses and environments, integrates automation into CI/CD pipelines, analyzes results, manages defects and testing risks, and leads UAT. The role also improves QA and release workflows, supports BDD practices, and mentors junior team members.

Industrialize a no-code trading intelligence proof of concept into production-grade Python services on Azure. Build and tune multi-agent AI systems using prompt logic, tool calling, RAG, orchestration loops, and Azure AI services. Develop human-in-the-loop recommendation workflows, implement automated testing with Pytest and CI integration, mock external APIs and data feeds, and create LLM evaluations to ensure end-to-end quality.

Source IT candidates by developing targeted sourcing strategies, using Boolean searches and recruiting platforms, conducting talent market research, reviewing profiles, and engaging prospective candidates through LinkedIn, GitHub, Stack Overflow, and professional communities. The role requires maintaining technical talent pipelines, presenting market insights, collaborating with recruiters, and managing multiple priorities while meeting deadlines.

Lead architecture for enterprise AI initiatives across products, platforms, and shared capabilities. Define AI architecture standards, reference patterns, governance, security, and operational guardrails. Guide solutions involving LLM applications, retrieval systems, agentic workflows, orchestration, evaluation, observability, and cloud-native platforms. Partner with business, product, and engineering leaders, influence strategic decisions, mentor technical teams, and support AI-enabled software development and platform modernization.

Lead the design, development, and delivery of scalable web applications using Node.js, TypeScript, React, AWS, Docker, and Kafka. Drive architecture, engineering standards, testing, CI/CD, cloud deployment, and quality practices. Mentor junior and mid-level engineers, collaborate with DevOps and cross-functional teams, and participate in technical hiring and interviews.

Design and implement complex web applications, improve engineering and quality standards, create CI/CD pipelines, support technical hiring, and coach junior and mid-level engineers. The role requires advanced Node.js development, TypeScript and React, database querying, testing, Docker-based deployment, AWS infrastructure configuration, and Kafka knowledge.

Lead QA automation initiatives by architecting frameworks, migrating automation suites to Playwright, and developing UI and API tests. Integrate testing into CI/CD pipelines, define quality metrics, maintain testing infrastructure, document standards, conduct peer reviews, assess product quality, mitigate testing risks, and provide technical guidance and onboarding for QA teams.

Lead and execute end-to-end embedded firmware development for devices—from requirements through production and post-production support. Design, implement, test, debug, and optimize system software and I/O, interface with hardware, validate new product designs, assess third-party/open-source software, support QA, perform research and prototypes, and mentor junior teammates.

Lead design and delivery of scalable Python backend and AI platforms. Architect microservices, integrate LLMs and vector retrieval, build AI workflows, optimize data pipelines with Databricks and SQL, lead cloud deployments on Azure/AWS, mentor engineering teams, and collaborate with product and data science to productionize Generative and Agentic AI solutions.

Design and develop embedded firmware for battery-powered IoT devices using C/C++ and assembly. Implement wireless protocols, RTOS applications, secure boot and encryption, optimize power and performance, collaborate with hardware, cloud and mobile teams, and build testing and debugging frameworks.