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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer 4 / Power Platform - **Company:** Mindlance - **Location:** Charlotte, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automated Storage and Retrieval Systems, Microsoft Azure, Cloud Computing Security, Data Transformation, Data Security, Software Debugging, Software Design Patterns, Elasticsearch, Identity and Access Management, Python (Programming Language), Network Security, OpenShift, Power BI, Software Engineering, Systems Integration, Workflow Management Systems, Enterprise Data Management, Google Cloud, Enterprise Software Applications, Microsoft Power Automate, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Caching, Generative AI, HybridCloud, Git, Containerization, AI Platforms, Uipath, Kubernetes, Low Latency, Machine Learning Operations, Virtual Agents, Restful APIs, Software Version Control, Powerapps, Docker, Alteryx - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/cdd3bac6-b365-4dec-8198-554c547248d9 ## About the Role * 4+ years of software engineering experience or equivalent through a combination of work experience, training, military service, or education * 2+ years of experience working with Generative AI, large language models, or foundation models * 2+ years of experience with either Google Cloud Platform, Azure, Kubernetes, or OpenShift * 2+ years of experience with Python * 2+ years of experience with REST API development and containerization technologies such as Docker and Kubernetes * 2+ years of experience using Git for source code version control, including branching, pull requests, and collaborative development workflows, * Understanding of cloud security principles including identity and access management, encryption, and network security in public or hybrid cloud environments * Experience working in highly regulated industries such as financial services * Experience as a technical lead or architect, including mentoring senior engineers * Experience integrating or contributing to open source AI or ML projects * Experience integrating applications with enterprise data platforms, APIs, and secure data pipelines * Strong communication and documentation skills to collaborate across engineering, product, and oversight teams Preferred Skills and Experience: * Experience with Power Platform, including Power Apps and Dataverse * Experience with UiPath or other enterprise automation tools * Experience with LLM development using OpenAI, Anthropic, or Google Gemini models * Experience with agentic frameworks and AI workflow orchestration * Experience designing applications that incorporate retrieval augmented generation, fine tuning, and structured prompting * Experience with vector databases and retrieval systems such as Elasticsearch, OpenSearch, Pinecone, or Weaviate * Experience with LLM evaluation, observability, and monitoring including latency, cost, accuracy, grounding, drift detection, and safety assessments * Familiarity with ML lifecycle tools and processes such as feature stores, model registries, and CI or CD pipelines for AI services * Familiarity with responsible AI principles, compliance, and governance processes related to AI systems in regulated environments * Experience optimizing AI application performance including prompt efficiency, model selection, caching, batching, and cost management. ## Description Microsoft Power Platform (Power Apps Power Automate, PVA, Power BI) - UI Path - Langchain (or any other Agentic framework) - Alteryx (Data transformation and automation) - IDP (intelligent document processing) - Microsoft Co-Pilot Studio - Agentic AI (Hands on experience on Gitogenin/Vertex AI) REQUIRED CERTIFICATIONS - UI path Certified - MS Power Platform Certified In this role, you will: * Lead moderately complex initiatives and deliverables within technical engineering environments * Contribute to large scale planning of strategies across Consumer Technology * Design, code, test, debug, and document applications and services including upgrades and deployments * Review technical challenges that require in depth evaluation of technologies, procedures, and engineering approaches * Resolve moderately complex issues while guiding teams to meet existing and emerging business needs * Collaborate with peers, colleagues, and mid level managers to resolve technical challenges and meet project goals * Lead projects and act as an escalation point, providing direction to less experienced engineers * Design, develop, and deploy AI applications using enterprise APIs, LLMs, agent frameworks, and related technologies * Implement prompt engineering, retrieval augmented generation, fine tuning, and agentic design patterns * Integrate LLM models with existing enterprise systems and ensure that AI solutions meet governance, security, and compliance standards * Troubleshoot complex application and model related issues and contribute to the continuous improvement of AI systems * Assist and mentor engineers in advanced software development and AI engineering practices * Stay informed of advancements in AI, LLMs, and agent frameworks and apply relevant updates to products and systems ## Related Videos - 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