Jobs at Ciklum

Design, implement and maintain .NET applications using best practices; ensure code quality; deploy and configure infrastructure on cloud providers; mentor junior engineers; participate in technical interviews and continuous quality improvements including code reviews and performance tuning.

Design and implement backend functionality, participate in architecture and code reviews, collaborate with stakeholders, improve solutions and processes, deliver roadmap items, provide field support, and produce testable, performant code across the SDLC.

Build and deploy Python-based hybrid retrieval, grounding, citation, and RAG pipeline components using BM25 and pgvector. Develop integration tests, CI/CD regression harnesses, and golden datasets while maintaining strict latency targets. Collaborate with senior engineers, architects, and client teams through pair programming and agile ceremonies. Deliver secure AI components in Azure DevOps using Azure OpenAI and Azure Machine Learning.

Lead architecture and strategy for an advanced RAG and Code-RAG platform. Oversee retrieval evaluation, reranker tuning, grounding, citation frameworks, AST-aware semantic chunking, secure Azure delivery, and production Python engineering. Provide technical direction to implementation teams, conduct architectural reviews, establish evaluation KPIs, and collaborate with clients through a SAFe co-delivery model.

Lead enterprise AI platform automation across infrastructure provisioning, CI/CD, governance, observability, deployment, and lifecycle management. Build self-service capabilities for GenAI, data science, data engineering, and analytics workloads using Terraform, Kubernetes, cloud technologies, Python, and DevSecOps practices. Support agentic AI, event-driven architectures, distributed computing, and operational reliability while collaborating with engineering, architecture, governance, security, and business stakeholders. Provide technical leadership, design reviews, mentoring, and best-practice guidance.

Develop and maintain scalable JavaScript-based product features and design-system components. Contribute to architecture, tooling, governance, accessibility, performance, testing, CI/CD, release management, documentation, and defect resolution. Collaborate with cross-functional teams, review implementations, assess libraries and frameworks, support developers, and help ensure reusable, performant, standards-compliant web experiences.

Design and execute automated QA suites for AI-generated code documentation, validating LLM output accuracy, hallucination rates, data pipelines, schemas, transformations, graph databases, vector search, and regression performance. Maintain golden evaluation datasets, integrate tests into CI/CD, and collaborate with AI/ML and data engineering teams on acceptance criteria, defect tracking, and pipeline health.

Perform manual functional, system, acceptance, integration, regression, accessibility, web, API, and mobile testing. Query SQL Server databases, access servers through RDP, monitor AWS and Kibana logs, manage test cases in Jira Xray, and collaborate with cross-functional teams. Identify automation opportunities during refinement and support developers in automating test scenarios.

Perform manual functional, system, acceptance, integration, regression, web, API, and mobile application testing. Query SQL Server databases, access remote servers, monitor AWS and Kibana logs, manage test cases in Jira Xray, and collaborate with cross-functional teams. Identify automation opportunities during refinement and work with developers to automate scenarios. The role also involves accessibility testing, issue prioritization, stakeholder communication, and supporting broader system knowledge.

Build and deploy LLM-powered agents and workflows, develop rigorous evaluations, integrate systems and data sources, and implement cost, quality, and safety telemetry. The role involves designing agentic architectures, RAG systems, tool-use strategies, prompts, deployment pipelines, and production guardrails. The engineer will collaborate with business users, iterate within defined scopes, and coach team members on LLM best practices.

Build and deploy LLM-powered agents and workflows, design rigorous evaluations, integrate systems and data sources, instrument cost and quality telemetry, and maintain production guardrails. Partner with business users to iterate within bounded scopes and coach team members on prompt engineering, context management, agentic architectures, RAG, tool use, and LLM best practices.

Own end-to-end backend feature development for identity and access management systems. Design, build, optimize, and scale authentication and authorization services using NestJS, Node.js, TypeScript, AWS, OAuth, JWT, SAML, and WebAuthn. Contribute to platform architecture, distributed systems, technical decisions, mentoring, and AI-enhanced development workflows. Collaborate independently and within a cross-functional team, with limited React frontend work.

Own authentication, authorization, and identity-management features end to end. Design and build high-throughput distributed backend services with Node.js, TypeScript, NestJS, Kafka, Redis, and MySQL. Make architectural decisions, use AI development tools, review code, mentor junior engineers, and collaborate with product, QA, and DevOps teams throughout development and deployment.

Refactor and modernize automation frameworks, build robust Selenium and REST API test suites, own framework tasks, support testing across multiple feature squads, and independently identify and resolve technical issues. The role requires strong Python development experience, autonomy, proactive problem-solving, and clear English communication. Familiarity with CI/CD, DevOps, microservices, Linux, and PostgreSQL is desirable.

Build and deploy LLM-powered agents, workflows, and integrations in production. Develop comprehensive evaluation suites, enforce guardrails, connect AI systems with business data sources, and monitor cost and quality telemetry. Collaborate with business users to rapidly iterate within defined scopes. The role requires strong Python and TypeScript skills, API development, prompt and context engineering, production LLM application experience, and the ability to deliver quickly without compromising reliability.

Designs, implements, deploys, and maintains high-quality .NET applications using monolithic, microservice, and serverless architectures. The role involves complex SQL development and performance tuning, code reviews, quality metrics, infrastructure configuration, application security, technical interviews, and mentoring junior engineers. The position is fully remote but based in Argentina.

Build and govern enterprise design systems, UI libraries, and reusable web components. Own front-end architecture, accessibility, performance, tooling, versioning, documentation, and testing pipelines across multiple applications. Collaborate with product, UX, architecture, and DevOps teams across LATAM and US time zones. Mentor engineers on JavaScript, TypeScript, testing, and component design.

Build and deploy LLM-powered agents and workflows using platform templates, pipelines, and guardrails. Develop comprehensive evaluations, integrate agents with GoodRx systems and data sources, and instrument cost and quality telemetry. Collaborate with business users to rapidly iterate within defined scopes. The role requires strong Python and TypeScript skills, API development, prompt and context engineering, production LLM application experience, and the ability to deliver quickly while maintaining safeguards.

Own platform-wide quality assurance for an AI-powered multilingual knowledge platform. Define test strategies and acceptance criteria, test retrieval accuracy and relevance, validate German, Italian, French, and Dutch outputs, verify API contracts and NICE synchronization, manage regression coverage, and integrate QA processes into CI/CD pipelines. Evaluate RAG/LLM outputs and collaborate with business analysts, developers, and technical leads to ensure consistent quality across systems.

Conduct internet research and analyze technical information about PC and network hardware and software. Enter specifications into internal databases, organize and write web content, fact-check data, ensure accuracy and guideline compliance, and suggest corrections. The role requires consumer electronics interest, basic hardware knowledge, strong English communication, attention to detail, and the ability to work independently and collaboratively.