Intellectsoft is a software development company delivering innovative solutions since 2007. We operate across North America, Latin America, the Nordic region, the UK, and Europe. We specialize in industries like Fintech, Healthcare, EdTech, Construction, Hospitality, and more, partnering with startups, mid-sized businesses, and Fortune 500 companies to drive innovation and scalability. Our clients include Jaguar Motors, Universal Pictures, Harley-Davidson, and many more where our teams are making daily impact. Together, our team delivers solutions that make a difference. Learn more at https://www.intellectsoft.net/ You will be instrumental in building an enterprise-grade Agentic Framework designed to automate complex production lifecycles in heavy industries like aerospace and manufacturing. This role is for engineers who thrive in "high-unknown" environments and can move from architecture design to production-grade implementation with minimal oversight. We value candidates who leverage heavy AI code assistance to accelerate delivery without sacrificing quality

Role Description We're building AI-powered products, primarily leveraging off-the-shelf LLM APIs, while also partnering with our Applied Science teams to integrate custom models when needed. You'll own end-to-end development of AI features — from prototyping to production — focused on reliability, accuracy, and scalable delivery. Qualifications - Strong Python engineering skills and experience delivering production systems - Hands-on experience building with LLM APIs (OpenAI, Anthropic, etc.) and deploying AI features end-to-end - Experience with LangChain / LangGraph — including Prompt Engineering, Token Management, and Agent creation with tool-based workflows - Experience building agentic workflows (tool use, routing, memory, safety/guardrails), ideally with MCP - Solid understanding of RAG concepts — retrieval, chunking, embeddings, re-ranking, and evaluation - Practical AWS experience, especially AWS Lambda and serverless architecture patterns - Backend engineering experience: RESTful API design, webhook integration, JWT, pytest, and observability tools like Sentry - Experience doing Git repository analysis — understanding large codebases, debugging, refactors, and code health - Comfortable working in fast-moving product environments with high ownership Requirements - NextJS and TypeScript for frontend components and integration - AWS CDK for infrastructure-as-code and deployment - Broader AWS services knowledge: S3, CloudWatch, IAM, API Gateway - Experience with NoSQL databases - Experience integrating or serving custom models (inference, model endpoints, monitoring) - Familiarity with evaluation frameworks (offline tests, human feedback loops, regression suites) - Strong software engineering fundamentals: testing, CI/CD, observability, performance What You Will Do - Plan and develop applications that include custom AI components — orchestration, evaluation, tooling, and integrations - Build intelligent agents using LLMs and the MCP framework to enable context-aware automation and decision-making - Automate internal workflows and operational processes using Python and AWS Lambda - Develop and improve RAG-based chatbots to increase response accuracy, grounding, and consistency - Collaborate with Applied Science teams to productionize custom models and connect them with product systems - Design and maintain multi-agent AI pipelines, including fallback and graceful degradation strategies for reliability Benefits - $2,000 – $4,500/month — paid in USD, bi-weekly via Deel - Fully Remote — work from anywhere in Latin America - Full-time contract with a U.S. company — 6-month initial term, full-time conversion - Paid PTO — competitive package, grows with tenure - Referral Program — earn a bonus for referring talent that gets hired - Be an early employee at a fast-growing startup with direct path to technical leadership To Apply - Please send your resume in English. - Include the following: - LinkedIn Profile URL (required) - GitHub Portfolio — show us your best work (required) - Live Project Examples — applications or tools you've built (encouraged) - Cover Letter — tell us why you're excited about this role (optional but encouraged)

• You develop customized chat and voice bots for our clients • You are involved in development from conceptualization to deployment • You define how required processes should be implemented as conversational/dialog flows • You develop integrations with clients' system landscapes when required • You use prompt engineering to improve the bots' efficiency and accuracy

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now. We’re building an AI Tutor that feels less like software and more like a world-class personal coach—guiding millions of learners in real time, adapting to their goals, and unlocking faster, deeper understanding at scale.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. About you You’re a strong builder who thrives on turning cutting-edge AI capabilities into real, high-impact products. You operate with high ownership, move quickly, and care deeply about quality—balancing experimentation with disciplined execution. You’re comfortable working in ambiguity but don’t wait for perfect direction—you break down problems, make progress, and iterate. You want to work on systems that matter, alongside people who are pushing the boundaries of how AI can transform learning. Responsibilities - Own the design and implementation of key components of the AI tutoring system, including prompt architectures, agentic workflows, and adaptive behaviors. - Drive experiments end-to-end—shipping, measuring, and iterating to improve learning outcomes and model performance. - Build production-grade systems that integrate LLM capabilities into user-facing experiences with reliability, speed, and scalability. - Translate product and pedagogical goals into concrete technical solutions, working closely with product, content, and design. - Rapidly prototype and deploy new model capabilities, bridging the gap between research breakthroughs and real user impact. - Strengthen system quality through robust testing, monitoring, and iteration—ensuring safe and consistent behavior at scale. - Raise the bar through strong code, pragmatic technical decisions, and active participation in design and code reviews. Qualifications Technical - Proven experience building and shipping LLM-powered products in production environments. - Strong prompt engineering skills and hands-on experience with agentic workflows or multi-step model interactions. - Solid grasp of experimentation—comfortable designing, running, and interpreting experiments to drive improvements. - Strong software engineering fundamentals (Python), with experience building scalable systems and working in modern production environments. Product & Pedagogy - Strong product instincts—able to connect model behavior to user experience and outcomes. - Interest in building effective learning experiences; curiosity about how people learn and where AI can accelerate that. - Ability to work closely with non-engineering stakeholders to ship cohesive, user-centered solutions. Character & Collaboration - High ownership and bias for action—you move things forward without waiting for perfect clarity. - Comfortable operating in fast-moving environments with evolving constraints. - Clear communicator who contributes to a strong, low-ego engineering culture. Why Datacamp? Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team: - Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding. - Competitive compensation: We offer a competitive salary with attractive benefits. - Flexibility: Benefit from flexible working hours because the future is flexible! - Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth. - Global retreats: Participate in international company retreats, fostering a global team spirit. - Equipment: Yearly refreshment of your IT Equipment budget for your home working setup. - Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!