Jobs at Ciklum

Conduct outbound cold calls, email, and LinkedIn campaigns to target international prospects. Present consulting and digital engineering services, engage decision-makers, qualify opportunities, schedule meetings, follow up with interested prospects, coordinate pre-sales discussions with technical teams, and document sales activity in Salesforce CRM.

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.

Leads the architecture, development, deployment, and governance of enterprise AI systems, including LLM applications, multimodal models, RAG, and multi-agent solutions. Drives prototyping through production delivery, establishes LLMOps practices such as CI/CD, observability, evaluation, and model versioning, and supports presales strategy. Collaborates with product and data teams, ensures security and privacy compliance, and mentors junior engineers.

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 maintain scalable Python microservices, REST APIs, WebSockets, background jobs, and event-driven systems. Deploy AWS infrastructure using Terraform or AWS CDK, build CI/CD pipelines, optimize PostgreSQL, DynamoDB, and Redis data layers, and enforce secure authentication and access controls. Develop frontend features with React, Next.js, and TypeScript, while integrating AI/LLM capabilities, agentic frameworks, RAG workflows, and vector databases. Lead backend architecture and ensure quality through automated testing and LLM evaluations.

Design, develop, test, and deploy MuleSoft API-led integrations connecting Salesforce with external platforms, warehouses, Anaplan, and partner systems. Lead data transformation, event-driven integrations, security, API governance, and contract design. Conduct technical workshops, gather requirements, document solutions, coordinate with stakeholders and vendors, and independently own integration initiatives through production deployment and post-launch support.

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.

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.

Lead design and maintain a secure, production AWS environment for an Agent Development Platform. Implement Firecracker MicroVMs or container isolation, provision and scale vector and graph databases, build event-driven streams, automate infrastructure with IaC and CI/CD, integrate identity for multi-tenancy, and enforce strict egress controls to prevent data exfiltration.

Lead design, build, and scale production-grade Generative AI applications using LLMs, RAG, LangChain, vector databases, and agentic systems. Own AI orchestration, containerized Kubernetes deployments, CI/CD, data ingestion from enterprise sources, monitoring for high uptime, and governance/compliance to deliver measurable business impact and reusable AI accelerators.

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.

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.

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.

Operate the deal desk and manage opportunity-to-booking lifecycle in Salesforce and DealHub. Ensure booking accuracy, support contracting workflows, coordinate across Sales/Finance/Legal, maintain renewal pipeline, and provide peak-period closing support (EOM/EOQ/EOY).

Design, build, and deliver enterprise-grade Generative AI and AI/ML platform capabilities: reusable services, APIs, microservices, RAG and agentic solutions, model lifecycle tooling, inference and monitoring, event-driven streaming with Kafka, CI/CD and DevOps automation, and platform observability to accelerate AI adoption across business domains.