Sobre

• Join DaCodes!
• We are a software and digital transformation firm delivering high-impact technology solutions.
• For over 10 years, we’ve been creating innovation-driven products thanks to our team of 220+ talented #DaCoders, including developers, architects, UX/UI designers, PMs, QA testers, and more. Our team collaborates on projects with clients across LATAM and the U.S., consistently achieving outstanding results.
• At DaCodes, you’ll have the opportunity to accelerate your professional growth, work across diverse industries, and contribute to the design, implementation, and optimization of cloud-based infrastructures.
• Our DaCoders have a huge impact on the success of both our business and our clients’. You’ll be the expert contributing to key projects while gaining exposure to disruptive startups and global brands.
• Interested? Keep reading 👇
• Project Context
• A global advisory company in the healthcare sector is developing a Retrieval-Augmented Generation (RAG) Application to build its own secure, enterprise-grade ChatGPT, ensuring data privacy, security, and traceability for its client organizations.
• This role requires a technical and product-minded engineer, capable of designing scalable, secure, and production-ready SaaS architectures.
• Desired Profile
• 4+ years of software development experience, including at least 2 years working with Generative AI or RAG-based systems.
• Strong command of Python and JavaScript/TypeScript, with hands-on experience in modern AI frameworks and integrations.
• Proven experience building RAG pipelines and managing vector databases (Pinecone, FAISS, Weaviate).
• Solid understanding of secure cloud architectures (AWS) and handling sensitive or regulated data.
• Experience with LLMs from both open-source and commercial ecosystems (OpenAI, Anthropic, Cohere, Mistral, etc.).
• Product-driven mindset — results-oriented, iterative, and focused on user experience.
• Intermediate to advanced English for technical communication and documentation.
• Nice to Have
• Knowledge of healthcare compliance frameworks (HIPAA, GDPR, SOC2).
• Experience building enterprise AI copilots or chatbots.
• Familiarity with prompt engineering, evaluation frameworks (LangSmith, PromptLayer), and AI observability tools.
• Key Responsibilities
• Design, develop, and implement a RAG-based AI Application for the healthcare sector, prioritizing data security, compliance, and privacy (HIPAA / SOC2-ready).
• Build and integrate RAG pipelines combining semantic search, embeddings, and LLMs for secure contextual responses.
• Develop agentic AI workflows using frameworks such as LangChain, LlamaIndex, Semantic Kernel, Auto-GPT, and BabyAGI.
• Integrate both open-source LLMs (LLaMA, Mistral, Falcon) and enterprise LLMs (OpenAI, Anthropic, Cohere), optimizing performance and cost.
• Configure and manage vector databases (Pinecone, FAISS, Weaviate) for efficient knowledge retrieval and storage.
• Deploy AI solutions on AWS (Lambda, S3, QuickSight, API Gateway) following security and scalability best practices.
• Design and integrate REST and GraphQL APIs, ensuring system interoperability and reliability.
• Collaborate with product, UX, and data science teams to transform prototypes into SaaS-ready MVPs, delivering seamless chat, voice, and dashboard experiences.
• 🚀 Work with global brands and disruptive startups.
• 🏡 Remote / home office.
• 📍 If a hybrid or on-site modality is required, you’ll be informed from the first session.
• ⏳ Work schedule aligned to the assigned project team.
• 📅 Monday to Friday work week.
• 🎉 Birthday day off.
• 🏥 Major medical insurance (Mexico).
• 🛡️ Life insurance (Mexico).
• 🌎 Multicultural teams.
• 🎓 Access to training courses and certifications.
• 📢 Meetups with special guests from the IT industry.
• 📡 Virtual team-building events and interest groups.
• 📢 English classes.
• 🏆 Opportunities across our business lines.
• 🏅 Proudly certified as a Great Place to Work.