Technical lead responsible for AI-powered full-stack applications: design high-level architecture, build scalable Python services (FastAPI/Flask/Django), develop interactive frontends (React/Vue/Angular with TypeScript), and implement LLM integrations (RAG, LangChain, LlamaIndex). Requires 7+ years software development experience (2+ years in technical leadership), experience with APIs (REST/GraphQL), vector and relational databases, CI/CD, containerization, and strong communication and mentoring skills. Position is 100% remote.

Lead technical direction for AI-powered full-stack applications, designing scalable Python services and interactive frontends (React/Vue/Angular), architecting data pipelines and LLM/agent workflows, and mentoring engineering teams. Remote position based in Brazil; requires 7+ years of software development experience with leadership experience and hands-on AI/LLM expertise (RAG, LangChain/LlamaIndex).

Technical lead for AI-focused full-stack projects at a nearshore staff augmentation firm. Role includes architectural decisions across backend (Python), frontend (React/Vue/Angular), data pipelines, agentic workflows and LLM integrations (RAG, LangChain/LlamaIndex). Requires 7+ years software development experience with 2+ years in technical leadership. Position is fully remote and works with U.S. clients; compensation stated as competitive in USD (no numeric salary provided).

The position is for a Senior Full-Stack AI Engineer responsible for architecting and shipping product features for a context-aware AI agent platform. Key responsibilities include designing REST/GraphQL APIs, performant PostgreSQL schemas, resilient asynchronous processing, building React frontends, and implementing/optimizing LLM agent workflows (prompt engineering, retrieval, tool integration). Role is remote with a LatAm candidate focus.

Hands-on senior engineer responsible for building full-stack user experiences and backend systems for an AI agent platform. Duties include designing REST/GraphQL APIs and PostgreSQL models, implementing asynchronous background job processing and distributed queues, integrating and optimizing LLM agent workflows (prompt engineering, retrieval/RAG, tool calling), and ensuring production reliability, observability, and data privacy.

Join Truelogic's client (a stealth-stage AI studio) as a Senior Full-Stack AI Engineer to architect and implement features across frontend, backend, and LLM/agent runtimes. Responsibilities include API and data model design (REST/GraphQL, PostgreSQL), building resilient async background processing, integrating retrieval and tool-calling for LLM workflows, and maintaining production reliability, observability, and data privacy. Role is fully remote.

Truelogic is hiring a Senior Full-Stack AI Engineer to architect and ship end-to-end features for a context-aware AI agent platform. The role requires strong experience with TypeScript, React, REST/GraphQL, PostgreSQL, asynchronous background processing, and practical familiarity with LLM/agent runtimes, retrieval architectures, and tool integration. The position is 100% remote and affiliated with a stealth-stage AI technology studio client.

Hiring a Senior Full-Stack AI Engineer to architect and ship end-to-end features for a context-aware AI agent ecosystem. Responsibilities include designing REST/GraphQL APIs, performant PostgreSQL models, resilient async background processing, building TypeScript + React frontends, and implementing/optimizing LLM agent workflows (prompt engineering, retrieval, tool integration). Requires strong experience with TypeScript, React, PostgreSQL, backend async systems, and familiarity with LLM/agent runtimes.

Hands-on senior engineer responsible for architecting and shipping end-to-end features for a context-aware AI agent ecosystem. Responsibilities include designing REST/GraphQL APIs, performant PostgreSQL schemas, resilient async/background processing, React frontends, and implementing/optimizing LLM agent workflows (prompt engineering, retrieval/RAG, tool integration). Emphasis on production reliability, observability, and data privacy.

Work on end-to-end product features for a context-aware AI agent ecosystem, including designing REST/GraphQL APIs, performant PostgreSQL schemas, resilient async job processing, and responsive React frontends. Implement and optimize LLM agent workflows (prompt engineering, retrieval/RAG, tool integration) while maintaining production reliability, observability, and data privacy.

Hands-on Senior Full-Stack AI Engineer responsible for architecting and delivering end-to-end features for a context-aware agent platform. Work spans frontend React UIs, TypeScript backend services, REST/GraphQL APIs, performant PostgreSQL data models, asynchronous background processing, and implementation/optimization of LLM agent workflows (prompt engineering, retrieval, tool integration) while maintaining production reliability, observability, and data privacy.

Role involves architecting and shipping full-stack product features for an AI agent ecosystem: designing REST/GraphQL APIs, performant PostgreSQL models, resilient async/background processing, React frontends, and implementing/optimizing LLM agent workflows (prompt engineering, retrieval, tool integration). Emphasis on production reliability, observability, and data privacy.

Join an early-stage, VC-backed B2B SaaS fintech as a founding product engineer. You'll own customer problems end-to-end, build full-stack solutions (frontend, backend, AI, data, integrations), develop AI finance agents, and implement reliable infrastructure for permissions, audit trails, and exact financial reconciliation. Required: 3+ years engineering experience and familiarity with React, TypeScript, Python, FastAPI, and PostgreSQL; experience with fintech integrations (QuickBooks, Plaid, Stripe) and production LLM/AI work is a plus.

Client-facing role responsible for translating creative and business requirements into scoped, testable GenAI workflows and automation pipelines; building and configuring prompts, agents, node-based workflows and quality-control mechanisms; and partnering with creative, brand, studio, and technology stakeholders to drive adoption and measure performance.

Join as a Creative Technologist to implement, configure, test, and govern GenAI workflows, agents, and automation pipelines in an enterprise, client-facing environment. The role requires experience with node-based workflow editors, prompt and model configuration, workflow testing, and collaboration with creative, marketing, and technology stakeholders. Remote role based in Latin America with full-time hours aligned to US Central Time and advanced English proficiency.

Hands-on, client-facing role responsible for translating creative and business requirements into scalable GenAI workflows, configuring prompts, models, agents, and node-based pipelines, and driving adoption and quality control. Requires experience with visual workflow editors, enterprise AI workflows, stakeholder facilitation, and advanced English; based in Latin America and available to work full-time aligned with US Central Time.

Seeking a senior Creative Technologist to design, configure, test, and govern enterprise GenAI workflows, agents, and automation pipelines in an embedded lab with creative and brand teams. Responsibilities include prompt and model configuration, node-based workflow building (e.g., ComfyUI, n8n, Figma Weave), QA and scoring of outputs, documentation, stakeholder workshops, and optimizing production efficiency. Role is remote, LATAM-based (Bogota), client-facing, requires advanced English and full-time hours aligned with US Central Time.

Lead implementation and maintenance of GenAI workflows, agents, prompts, and node-based pipelines; document builds and testing; configure quality-control and monitoring; run discovery sessions and partner with creative, marketing, brand, studio, and tech teams. Requires hands-on enterprise experience with GenAI workflows and visual workflow editors, strong stakeholder-facing communication, advanced English, and availability to work full-time aligned with US Central Time.

Hands-on Principal Full-Stack Engineer role responsible for end-to-end delivery of scalable, secure multi-tenant SaaS features (domain modeling, backend services, frontend, tests, deployment, production support). Requires expert proficiency in C#, .NET, Entity Framework, Angular, SQL Server/PostgreSQL, AWS and experience with DDD, CQRS, event-driven architectures, CI/CD, observability and AI-assisted development tools.

Hands-on Forward Deployed Engineer role focused on mapping and redesigning creative workflows and implementing AI-powered pipelines integrated with DAMs, CMSs, marketing stacks and project tools. Requires 5–10 years in creative technology, content operations, production engineering, marketing technology or applied AI, and experience delivering production-ready solutions and proofs of concept.