Jobs at Ciklum

Design, build, and support production B2B application features across React and TypeScript front ends and Java Spring Boot APIs. Modernize legacy Oracle ADF and JSF systems, collaborate with Product and Design, improve code quality and test coverage, participate in on-call and incident response, address security findings, mentor engineers, and guide technical decisions. The role also involves developing AI workflows and evaluating AI-generated code.

Lead DevOps Engineer responsible for building AWS development, testing, and production environments; creating CI/CD pipelines; managing infrastructure as code, secrets, IAM, networking, API gateways, observability, monitoring, and alerting. The role also develops runbooks, rollback plans, deployment documentation, and operational handover materials while supporting production releases under enterprise change-control and cloud-governance processes.

Design and deploy production LLM capabilities for identifier extraction and intent detection using Azure OpenAI within Kore.ai. Build evaluation datasets, measure model performance, define prompts and guardrails, connect outputs to Snowflake and ticket routing, and support testing, defect triage, tuning, monitoring, and handover documentation. Collaborate with conversation designers and explain model behavior to stakeholders while addressing PII, GDPR, and responsible AI requirements.

Design, build, and maintain high-performance backend systems and scalable APIs using Python and FastAPI. Integrate AI-driven solutions (Generative/Agentic AI), work with Databricks and SQL/RDBMS, collaborate with cross-functional teams, optimize performance, and contribute to architecture and technical decisions.

Lead end-to-end design, build, deployment and iteration of AI-agent solutions. Embed with clients to map workflows, architect multi-agent systems, integrate enterprise systems and RAG pipelines, implement guardrails and observability, and liaise with non-technical stakeholders to drive adoption.

Develop and maintain Adobe Experience Manager applications, components, templates, workflows, and integrations. Build Java backend services, REST APIs, and responsive Angular frontends. Troubleshoot application and performance issues, perform testing, participate in code reviews and Agile ceremonies, support deployments, document solutions, and collaborate with product, QA, UX/UI, and technical teams.

Develop and maintain Oracle APEX applications, Oracle Analytics Server/OBIEE reporting solutions, BI Publisher reports, and Oracle database objects. Build dashboards, workflows, integrations, REST APIs, and data models; write complex SQL and PL/SQL; troubleshoot and tune application and database performance; support deployments, testing, production issues, documentation, and stakeholder collaboration.

Design, build, and scale production AI agent workflows using AWS Bedrock AgentCore, Step Functions, Claude, MCP, RAG, and guardrails. Develop Python/FastAPI backends, agent-facing interfaces, document-processing pipelines, enterprise integrations, and AWS infrastructure. Implement observability, evaluations, security controls, human approval workflows, and CI/CD. Work directly with enterprise customers and nontechnical stakeholders to deliver end-to-end AI solutions with minimal guidance.

Designs and maintains automated UI and API testing frameworks using C# and .NET. Integrates tests into CI/CD pipelines, analyzes results, defines quality metrics, manages testing risks, and improves release workflows. The role includes code reviews, mentoring, onboarding, documentation, collaboration with development teams, and automation of manual testing processes within Agile Scrum or Kanban environments.

Owns end-to-end automated quality engineering for an AI agent development platform. Responsibilities include frontend and backend automation, Temporal workflow reliability testing, multi-tenant isolation, sandbox and security testing, statistical LLM evaluation, adversarial test corpora, HITL validation, performance and concurrency testing, observability assertions, CI/CD release gates, evidence reporting, synthetic data pipelines, and mentoring QA engineers.

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.

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.

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.

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.

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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