Jobs at Truelogic Software

Lead the architecture and development of scalable, low-latency data infrastructure for real-time insights, predictive systems, generative AI, and agentic workflows. Build streaming ingestion, retrieval pipelines, vector data layers, APIs, and schemas; activate cloud data lakes and warehouses; establish engineering, CI/CD, documentation, and data quality standards; mentor engineers; and collaborate with machine learning, product, creative, and client teams.

Lead the architecture and development of scalable, low-latency data infrastructure for real-time insights, predictive systems, agentic AI, and generative AI applications. Build streaming ingestion, retrieval, vector, and memory systems; establish data engineering standards, CI/CD, documentation, and quality practices; mentor engineers; and collaborate with ML, Product, Creative, and client teams. The role is fully remote for candidates located in Latin America.

Lead the architecture and development of scalable, low-latency data infrastructure for real-time insights, predictive systems, agentic AI, and generative AI applications. Build streaming ingestion, retrieval, vector, and memory systems; establish engineering, quality, and CI/CD standards; mentor data engineers; and collaborate with machine learning, product, creative, and client teams. The role requires strong cloud, Python, SQL, real-time pipeline, and AI backend expertise.

Lead the architecture and development of scalable, low-latency data infrastructure for real-time insights, predictive systems, and generative AI applications. Build event-driven ingestion, streaming, retrieval, vector, and memory systems; activate cloud data lakes and warehouses; establish engineering standards and data quality practices; mentor engineers; and collaborate with ML, product, creative, and client teams.

Lead the architecture and development of scalable, low-latency data infrastructure for real-time insights, predictive systems, generative AI, and agentic applications. Build event-driven pipelines, vector and memory systems, RAG workflows, and production data APIs. Establish engineering standards, CI/CD, documentation, and data quality practices while mentoring engineers and collaborating with machine learning, product, creative, and client teams.

Lead the architecture and development of scalable, low-latency data infrastructure for real-time insights, predictive systems, generative AI, and agentic applications. Build streaming ingestion, retrieval, vector database, and RAG pipelines; activate cloud data lakes and warehouses; establish engineering standards, CI/CD, documentation, and data quality practices; mentor engineers; and collaborate with machine learning, product, creative, and client teams.

Owns risk-based test strategies for web and backend platform modernization. Builds and maintains Playwright or Cypress end-to-end automation and API test suites using TypeScript or JavaScript, integrates testing into CI/CD pipelines, identifies quality gaps, defines release criteria, and partners with developers to improve testability and shared quality ownership. The role also uses AI-assisted testing tools, communicates risks and defects, and drives continuous improvement in automation coverage and quality practices.

Leads enterprise digital marketing architecture across the Adobe Experience Cloud ecosystem. Designs scalable personalized experiences, audits existing platforms, develops technical roadmaps and governance frameworks, and leads estimation and pre-sales engagements. Builds integrations and production solutions using TypeScript, Next.js, Python, and Java. Applies AI development tools to create agents, workflows, and automation while driving engineering standards, mentoring teams, and managing global client and executive relationships.

Design and operate high-throughput backend services and REST APIs for a multi-tenant ticketing platform. Responsibilities include resilient architecture, database optimization, observability, production support, incident response, code reviews, technical standards, mentoring, and collaboration with product and engineering leadership. The role requires expertise in C#, .NET, SQL Server, event-driven systems, cloud deployment, async messaging, and operational tools.

Embeds with enterprise client teams to diagnose workflow and adoption issues, redesign operating models, establish measurement frameworks, and identify paths to ROI. Builds AI-powered prototypes and automations using LLM APIs and low-code/no-code tools, validates solutions through working demonstrations, and supports technology rollout, change management, enablement, engagement scoping, and stakeholder alignment.

Embed with enterprise clients to diagnose workflow and adoption challenges, redesign operating models, establish measurement frameworks, and accelerate technology-enabled transformation. Build and deploy AI-powered prototypes using LLM APIs and low-code/no-code tools, demonstrate value through working solutions, support change management and rollout, and align senior stakeholders around measurable business outcomes and ROI.

Embeds with enterprise client teams to diagnose workflows, redesign operating models, improve technology adoption, and deliver measurable ROI. Builds functional AI-powered prototypes using LLM APIs and low-code/no-code tools, creates performance measurement frameworks, supports change management and implementation readiness, and influences senior stakeholders through evidence-based recommendations and working demonstrations.

Embed with enterprise client teams to diagnose workflows, redesign operating models, and drive technology adoption. Build AI-powered prototypes using LLM APIs and low-code/no-code tools, establish measurement frameworks, advise on practical AI applications, support change management, and align senior stakeholders around measurable business outcomes and ROI.

Embeds with enterprise clients to diagnose operational friction, redesign workflows and operating models, and drive AI adoption. Builds functional AI-powered prototypes using LLM APIs and low-code/no-code tools, establishes measurement frameworks, supports change management and technology rollouts, and advises senior stakeholders on practical value realization, implementation readiness, and measurable ROI.

Forward Deployed Engineer embedded with enterprise clients to diagnose workflows, redesign operating models, build AI-powered prototypes using LLM APIs and low-code/no-code tools, and drive technology adoption. The role combines management consulting, process engineering, organizational transformation, stakeholder alignment, change management, and hands-on solution development to deliver measurable business outcomes and ROI.

Forward Deployed Engineer embedded with enterprise clients to diagnose workflows, redesign operating models, drive technology adoption, and deliver measurable business transformation. Responsibilities include building AI-powered prototypes with LLM APIs and low-code/no-code tools, establishing performance frameworks, supporting change management, aligning senior stakeholders, and improving implementation readiness and ROI.

The Forward Deployed Engineer embeds with enterprise clients to diagnose workflow and operating-model issues, redesign processes, and drive technology adoption. The role combines management consulting with hands-on development of AI-powered prototypes using LLM APIs and low-code/no-code platforms. Responsibilities include organizational assessments, operating-model design, measurement frameworks, stakeholder alignment, change management, implementation readiness, and value realization. The engineer works autonomously with client teams to ship practical solutions, demonstrate measurable ROI, and support transformation engagements.

Build and maintain full-stack applications, backend services, and internal growth tools supporting acquisition, experimentation, analytics, and retention. Design A/B tests, apply statistical and causal analysis, implement product instrumentation, integrate advertising and CRM systems, evolve data models, and connect customer and revenue data. The role partners with marketing, product, and design teams to deliver measurable growth solutions while maintaining data quality, testing, observability, privacy, and security standards.

Build and maintain full-stack applications, backend services, growth tools, analytics instrumentation, and third-party integrations. Design experiments, analyze A/B tests using statistical and causal methods, connect customer and revenue data, evolve data models, and ensure data quality, security, privacy, testing, and observability. Collaborate with marketing, product, and design teams to deliver measurable growth initiatives.

Build and maintain full-stack applications, backend services, APIs, and internal growth tools. Design experiments, analyze A/B tests using statistical and causal methods, instrument product analytics, and integrate advertising, CRM, database, and third-party systems. Develop data models and pipelines for full-funnel measurement, while ensuring data quality, testing, observability, privacy, and security. Partner with marketing, product, and design teams to turn growth objectives into measurable engineering solutions.