Job Summary: We are seeking a professional passionate about challenges and continuous learning to develop generative AI and machine learning solutions, leveraging AWS and DevOps practices. Key Highlights: 1. Develop generative AI and LLM solutions for business problems 2. Build advanced chatbots using LangChain and LangGraph 3. Leverage AWS and DevOps practices for scalability and operations We are inspired by tech powered by people. Therefore, we need individuals passionate about challenges and eager for continuous learning. We seek new makers to dream with us—people who see beyond the obvious and are ready to join us on this journey of transformation and growth. We are expanding our horizons and looking for individuals who share our passion for technology and continuous learning. If you match this profile, join our team! **RESPONSIBILITIES AND ATTRIBUTES** * Design and develop generative AI and LLM-based solutions applied to real-world business problems; * Develop advanced chatbots and conversational assistants using LangChain and LangGraph, supporting agents, multi-step workflows, memory, and external tool integration; * Develop and integrate machine learning models—from data preparation and training through deployment in applications; * Design, develop, and maintain APIs and services for integrating and delivering AI models and solutions, using modern API development frameworks; * Utilize AWS to support, execute, and scale AI solutions; * Apply DevOps practices and tools for delivery, automation, and production operations of solutions; * Implement monitoring, logging, and observability to ensure application and model performance, stability, and reliability; * Collaborate with engineering and business teams to continuously evolve AI solutions. **REQUIREMENTS AND QUALIFICATIONS** * Proven experience with generative AI and large language models (LLMs); * Experience developing chatbots and conversational systems; * Practical knowledge of LangChain and LangGraph; * Experience with machine learning—from training through production deployment; * Knowledge of APIs and service development frameworks, including system exposure and integration; * Knowledge of AWS; * Experience with DevOps practices and tools in production environments; * Proficiency in Python, with strong command of software engineering best practices; * Experience with application monitoring and observability. **PREFERRED QUALIFICATIONS** * Experience evaluating LLM response quality, including defining metrics and automated testing; * Experience in software engineering applied to AI solutions, with focus on architecture, automated testing, error handling, and production resilience; * Experience with CI/CD pipelines for AI applications; * Knowledge of observability and monitoring, including metrics, logs, and alerts; * Ability to translate business needs into technical AI solutions, working closely with product and stakeholders.