Jobs at Ciklum

Owns end-to-end IT services presales, including opportunity qualification, solution development, bid management, RFP responses, proposals, presentations, pricing, and deal closure. Partners with sales, delivery, architects, product managers, and subject matter experts to create feasible, differentiated solutions. Conducts market and competitive analysis, supports go-to-market strategies, and develops value propositions across product engineering, AI, cloud, and data services.

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.

Develop, customize, integrate, test, deploy, and support Dynamics 365 Business Central solutions using AL and extensions. Collaborate with cross-functional teams to translate business requirements into technical designs, integrate third-party systems through APIs and web services, document solutions, maintain coding standards, support upgrades, tune performance, and diagnose operational issues. The role also involves Power Platform capabilities, reporting, database work, CI/CD tools, and specialized Business Central workflow and finance integrations.

Manage and enhance Certinia PSA within Salesforce, partnering with business and engineering teams to gather requirements, write technical user stories, evaluate designs, test solutions, resolve issues, and support user adoption. The role also provides training, process support, governance, and stakeholder coordination across multiple teams.

Own the end-to-end architecture of a scalable B2B procurement marketplace integrating React, .NET, Azure, Entra ID, SAP, WMS, TMS, and other enterprise systems. Design APIs, middleware, data flows, security, and scalability patterns; lead technical discovery, maintain architecture documentation, support implementation alignment, and present technical approaches to clients and stakeholders.

Own and prioritize delivery backlogs for a connected consumer grooming ecosystem spanning mobile apps, IoT devices, firmware, BLE, hardware, UX, and cloud services. Translate approved Epics into user stories, acceptance criteria, and sprint-ready work. Coordinate dependencies, compliance, releases, risks, documentation, and distributed engineering teams while serving as the primary delivery liaison between Product Management and technical partners.

Lead a 10–15-person engineering team building agentic AI systems from the ground up. Set architecture strategy for planning, memory, tool use, multi-agent coordination, guardrails, observability, evaluations, reliability, and safety. Drive adoption of an AI-Driven Development Lifecycle, partner with product managers on ambiguous requirements, oversee delivery and technical reviews, and support hiring, mentorship, career growth, and leadership reporting.

Owns requirements elicitation, documentation, validation, and traceability for a B2B procurement ordering portal. Facilitates stakeholder workshops, produces functional specifications and user stories, performs gap analysis, supports UAT, and bridges business needs with engineering delivery. The role involves complex integrations with SAP, WMS, logistics, finance, and enterprise systems in a scope-controlled environment.

Lead the architecture, development, and deployment of enterprise AI systems using LLMs, RAG, multimodal models, and multi-agent architectures. Drive prototyping through production delivery, establish LLMOps practices, and ensure model reliability, security, and governance. Serve as a technical advisor during presales, collaborate with product and data teams, and mentor junior engineers.

Gather and document business and functional requirements for card and payment solutions. Collaborate with stakeholders, product owners, engineering, QA, and processors across the SDLC. Define user stories, process flows, acceptance criteria, and technical specifications; analyze impacts and dependencies; support UAT, integration testing, defect triage, releases, and production issues. Apply expertise in card processing, payment networks, ISO 8583, tokenization, digital wallets, chargebacks, reconciliation, and regulatory compliance.

Build production AI/ML systems for extracting structured data from complex documents. Responsibilities include document ingestion, OCR, confidence modeling, RAG knowledge bases, agentic workflows, human-in-the-loop review, reprocessing and diffing, model optimization, evaluation, monitoring, and governance. The role also provides technical mentorship to mid-level AI engineers and owns systems end to end.

Designs and deploys production-grade AI agents, RAG systems, multi-agent workflows, SDKs, and scalable LLM applications. Builds secure knowledge architectures, integrations, MLOps and LLMOps pipelines, governance controls, and evaluation frameworks. Serves as a technical authority in client engagements, mentors engineers, supports presales and recruitment, and drives engineering standards across AI projects.

Build end-to-end AI agent applications, including React and TypeScript interfaces, backend APIs, enterprise integrations, workflow orchestration, approval flows, dashboards, and human-in-the-loop features. Integrate LLM services, vector stores, databases, and observability tools while implementing secure authentication, RBAC, tenant-aware access, testing, CI/CD, logging, and deployment patterns.

Designs and implements complex web applications, improves engineering and quality standards, builds CI/CD pipelines, supports technical hiring, and coaches junior and mid-level engineers. Requires strong Node.js development, TypeScript, React, API architecture, database querying, testing, Docker, AWS infrastructure configuration, and Kafka knowledge.

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.

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.

A referral submission form inviting people to share a friend's details and CV for future job matches. The employer will contact referred candidates when a suitable opportunity arises; applicants are asked to follow referral rules and guidelines.

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.

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.