• Frontend Development & UX Focus: Build and maintain modern web applications using React.js, ensuring responsiveness, scalability, and performance. Work closely with UI/UX designers to implement user-friendly interfaces, ensuring cross-browser compatibility and optimization. • Backend Development & Core Services: Design, develop, and maintain critical backend services and core application logic using Ruby on Rails, ensuring high reliability, performance, and security. • API Development: Design, build, and optimize RESTful or GraphQL APIs to provide efficient, reliable data access for the React frontend and other internal systems. • Architecture & Performance: Architect and implement scalable full-stack systems. Continuously optimize performance, reliability, and efficiency through profiling, caching (e.g., Redis), and background job processing (e.g., Sidekiq). • Database Management: Design, maintain, and optimize relational databases such as PostgreSQL and MySQL. Write and tune SQL queries for performance and scalability. • System Reliability & Monitoring: Contribute to improving observability and performance monitoring. Quickly diagnose and resolve production issues across various environments and platforms. • Code Quality & Automation: Write clean, efficient, and well-documented code emphasizing modularity and maintainability. Ensure code quality through best practices, comprehensive automated testing, and active participation in code reviews. Contribute to improving CI/CD pipelines, deployment workflows, and proactively identify areas for system and process improvement. • Collaboration & Feature Delivery: Work closely with other engineers, product managers, and designers to deliver impactful, user-focused features that align with product goals.

• Liderar técnicamente servicios/proyectos de alto valor junto a equipos multidisciplinares. • Interlocución técnica directa con cliente: preventas, demos, estimaciones, definición de soluciones y participación en PoCs/pilotos. • Diseño de arquitecturas modernas, robustas y escalables (microservicios, CQRS, Clean Architecture, SOLID). • Liderar equipos de desarrollo y garantizar buenas prácticas e ingeniería de calidad. • Impartir formaciones internas/externas y participar en entrevistas técnicas. • Analizar viabilidad de soluciones, alternativas tecnológicas y trade-offs. • Conectar negocio y tecnología asegurando entregables realistas y alineados. • Participar en iniciativas internas, ponencias, marketing técnico y soporte a la Comunidad Microsoft.

About Volga Partners  Volga Partners is a global leader in generative AI (GenAI) innovation, building and deploying advanced AI solutions that drive real-world business transformation. We design intelligent systems, custom large language model (LLM) applications, and next-generation automation that enable organizations to operate smarter, faster, and more efficiently.  Our mission is to make GenAI practical, scalable, and impactful. We go beyond implementation—specializing in refining and enhancing LLMs with high accuracy across complex, high-value domains including finance, healthcare, legal, and technology. By tailoring models to specific use cases, we enable our partners to achieve measurable outcomes and unlock new growth opportunities.  With a global workforce of 3,000+ professionals across multiple countries, Volga Partners brings together diverse perspectives, cultures, and expertise. This diversity fuels innovation and allows us to deliver solutions that are both globally relevant and locally effective.  At Volga Partners, you’ll join a collaborative, forward-thinking team solving complex problems, exploring new frontiers in artificial intelligence, and shaping the future of intelligent technology.  Overview  We are hiring a mid-level AI Engineer to build and ship AI-powered features end-to-end.  This is not a junior role — candidates must have hands-on experience delivering production-ready AI solutions and the ability to independently execute in a fast-paced environment.  You will work closely with founders and product teams to develop intelligent systems such as copilots, chatbots, and automation tools, while ensuring performance, scalability, and reliability.    Key Responsibilities  - Build and ship AI-powered features (chatbots, copilots, automation tools)   - Design and implement RAG pipelines using embeddings and vector search   - Write and optimize prompts and system instructions   - Integrate LLM APIs (OpenAI, Anthropic, etc.) into production systems   - Develop backend services (Python / Node.js) to support AI workflows   - Work with real-world data (documents, logs, APIs)   - Improve system reliability through evaluations, testing, and iteration   - Debug issues such as hallucinations, latency, and cost inefficiencies   - Collaborate closely with founders and product team on product direction   Requirements  - 2+ years of experience in Machine Learning or AI-related roles   - Strong coding skills in Python or JavaScript   - Hands-on experience working with LLM APIs   - Experience building RAG pipelines or agent-based systems   - Solid understanding of ML fundamentals (fine-tuning is a plus)   - Proven ability to build and ship production-ready systems   Tech Stack  - Python, Node.js   - OpenAI / Anthropic APIs   - Vector databases (Pinecone, Chroma)   - React / Next.js   - AWS / Vercel   - LangChain / LlamaIndex   - Prompt engineering   - Embeddings + vector search   - API design and backend systems     Nice to Have  - Experience with LLM evaluation, fine-tuning, or model optimization   - Exposure to agent frameworks or multi-step reasoning systems   - Domain experience in finance, healthcare, legal, or other high-accuracy environments  What we Offer  - Salary: $2,500 – $3,500 USD/month (based on experience and alignment with role expectations)  - Opportunity to own and shape a meaningful internal product  - Collaborative, low-bureaucracy environment  - Exposure to cutting-edge AI and automation technologies

About Volga Partners  Volga Partners is a global leader in generative AI (GenAI) innovation, building and deploying advanced AI solutions that drive real-world business transformation. We design intelligent systems, custom large language model (LLM) applications, and next-generation automation that enable organizations to operate smarter, faster, and more efficiently.  Our mission is to make GenAI practical, scalable, and impactful. We go beyond implementation—specializing in refining and enhancing LLMs with high accuracy across complex, high-value domains including finance, healthcare, legal, and technology. By tailoring models to specific use cases, we enable our partners to achieve measurable outcomes and unlock new growth opportunities.  With a global workforce of 3,000+ professionals across multiple countries, Volga Partners brings together diverse perspectives, cultures, and expertise. This diversity fuels innovation and allows us to deliver solutions that are both globally relevant and locally effective.  At Volga Partners, you’ll join a collaborative, forward-thinking team solving complex problems, exploring new frontiers in artificial intelligence, and shaping the future of intelligent technology.  Overview  We are hiring a mid-level AI Engineer to build and ship AI-powered features end-to-end.  This is not a junior role — candidates must have hands-on experience delivering production-ready AI solutions and the ability to independently execute in a fast-paced environment.  You will work closely with founders and product teams to develop intelligent systems such as copilots, chatbots, and automation tools, while ensuring performance, scalability, and reliability.    Key Responsibilities  - Build and ship AI-powered features (chatbots, copilots, automation tools)   - Design and implement RAG pipelines using embeddings and vector search   - Write and optimize prompts and system instructions   - Integrate LLM APIs (OpenAI, Anthropic, etc.) into production systems   - Develop backend services (Python / Node.js) to support AI workflows   - Work with real-world data (documents, logs, APIs)   - Improve system reliability through evaluations, testing, and iteration   - Debug issues such as hallucinations, latency, and cost inefficiencies   - Collaborate closely with founders and product team on product direction   Requirements  - 2+ years of experience in Machine Learning or AI-related roles   - Strong coding skills in Python or JavaScript   - Hands-on experience working with LLM APIs   - Experience building RAG pipelines or agent-based systems   - Solid understanding of ML fundamentals (fine-tuning is a plus)   - Proven ability to build and ship production-ready systems   Tech Stack  - Python, Node.js   - OpenAI / Anthropic APIs   - Vector databases (Pinecone, Chroma)   - React / Next.js   - AWS / Vercel   - LangChain / LlamaIndex   - Prompt engineering   - Embeddings + vector search   - API design and backend systems     Nice to Have  - Experience with LLM evaluation, fine-tuning, or model optimization   - Exposure to agent frameworks or multi-step reasoning systems   - Domain experience in finance, healthcare, legal, or other high-accuracy environments  What we Offer  - Salary: $2,500 – $3,500 USD/month (based on experience and alignment with role expectations)  - Opportunity to own and shape a meaningful internal product  - Collaborative, low-bureaucracy environment  - Exposure to cutting-edge AI and automation technologies