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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer I (A2) AI Engineering - **Company:** Info Dinamica Inc - **Location:** United States (Remote available) - **Experience:** Starter - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Software Applications, Microsoft Azure, Business Software, Cloud Computing, Software Quality, Code Review, Information Systems, Databases, Continuous Integration, Data Infrastructure, Data Structures, Python (Programming Language), Machine Learning, Scrum Methodology, Systems Development Life Cycle, Software Tools, Azure Machine Learning, Search Technologies, Software Engineering, SQL Databases, Google Cloud, Cloud Platform System, Spring Cloud, GitHub Copilot, Large Language Models, Prompt Engineering, Apache Spark, Generative AI, Git, AI Platforms, Information Technology, Restful APIs, Data Pipelines, Automation Anywhere, Databricks, Programming Languages, Microservices - **Published:** September 18, 2026 - **Apply:** https://www.dice.com/job-detail/84117e6c-504d-4c45-acc6-f67acc81ac44 ## About the Role * We are seeking a motivated Software Engineer I (A2) AI Engineering to support the development and implementation of AI-powered applications and engineering solutions. This role is ideal for engineers with 3-5 years of software development experience and an interest in modern AI technologies, including Large Language Models (LLMs), Generative AI, Retrieval Augmented Generation (RAG), GitHub Copilot, Claude, Databricks, and cloud-based platforms., * Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. * 3-5 years of software engineering experience. * Experience with one or more programming languages such as Java, Python, or JavaScript. * Understanding of software development fundamentals, APIs, databases, data structures, and cloud technologies. * Exposure to AI/ML concepts, Generative AI, LLMs, or machine learning solutions. * Experience with Git, CI/CD pipelines, and Agile development methodologies. Preferred: * Hands-on experience with GitHub Copilot, Claude, OpenAI, Azure AI Services, or similar AI platforms. * Knowledge of RAG architectures, vector databases, embeddings, or prompt engineering. * Experience with Databricks, Spark, SQL, or data engineering tools. * Familiarity with Azure, AWS, or Google Cloud Platform cloud platforms. * Understanding of Responsible AI, security, and data privacy principles. ## Description * You will work closely with senior engineers, architects, product managers, and data teams to build scalable and secure AI solutions that improve developer productivity, business processes, and customer experiences., * Build and integrate APIs, AI workflows, and automation solutions under the guidance of senior team members. * Support implementation of AI use cases using GitHub Copilot, Claude, Azure AI Services, OpenAI models, and Databricks. * Participate in evaluating and testing new AI tools and technologies. * Assist in developing prompt engineering and retrieval-based solutions for business applications. Software Engineering * Design, develop, test, and maintain high-quality software applications and services. * Contribute to all phases of the Software Development Lifecycle (SDLC), including development, testing, deployment, and production support. * Follow engineering best practices for code quality, security, performance, and maintainability. * Develop REST APIs, microservices, and cloud-native applications. * Participate in code reviews and continuously improve development practices. Data & AI Engineering * Support development of data pipelines and AI-ready datasets using Databricks, Spark, SQL, and related technologies. * Assist in implementing vector search, embeddings, and retrieval solutions for AI applications. * Monitor and troubleshoot AI application performance, reliability, and operational issues. * Analyze data and model outputs to improve solution effectiveness and user experience. Collaboration & Delivery * Work closely with product managers, business stakeholders, data engineers, and senior developers to deliver AI solutions. * Participate in Agile ceremonies, sprint planning, backlog refinement, and team discussions. * Document technical designs, implementation approaches, and operational procedures. * Communicate progress, risks, and challenges effectively within the team. Security & Responsible AI * Follow Mastercard security, privacy, and Responsible AI guidelines during solution development. * Support testing and validation of AI solutions for accuracy, reliability, and compliance. * Participate in risk assessments and quality reviews as required. ## Related Videos - [From Syntax to Singularity: AI’s Impact on Developer Roles](https://www.wearedevelopers.com/videos/900-from-syntax-to-singularity-ai-s-impact-on-developer-roles) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Branch your database like your code: How schema changes and pull requests go hand in hand](https://www.wearedevelopers.com/videos/350-branch-your-database-like-your-code-how-schema-changes-and-pull-requests-go-hand-in-hand) - [Collaborative Intelligence: The Human & AI Partnership](https://www.wearedevelopers.com/videos/1097-collaborative-intelligence-the-human-ai-partnership) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)