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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Software Engineer AI / Agentic AI Engineer - **Company:** Lumen Inc - **Location:** Reston, VA, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Automation of Tests, Big Data, Databases, Continuous Integration, Extract Transform Load (ETL), Data Visualization, Python (Programming Language), PostgreSQL, Machine Learning, Natural Language Processing, Performance Tuning, Systems Development Life Cycle, Power BI, Tensorflow, Standard Sql, DataOps, Search Technologies, Software Engineering, Tableau (Software), Enterprise Software Applications, Chatbots, Azure Data Factory, Pytorch, Large Language Models, Snowflake, Spring-boot, Deep Learning, Backend, Kubernetes, Information Technology, Data Analytics, Data Management, Machine Learning Operations, Virtual Agents, Restful APIs, Data Pipelines, Devsecops, Docker, Jenkins, Amazon Redshift, Databricks - **Published:** September 4, 2026 - **Apply:** https://www.dice.com/job-detail/a1e50a2a-c59e-4b05-aaf2-902022510758 ## About the Role * 10+ years of overall IT/software engineering experience. * 3+ years of production-level AI/ML or AI Engineering experience. * 3+ years of strong Python development experience. * Strong experience with LLMs, NLP, Machine Learning, Deep Learning, and AI Agents. * Strong Business Intelligence, Data Analytics, Reporting, and Data Visualization experience. * Hands-on experience with Power BI, Tableau, or similar BI tools. * Strong SQL, data modeling, ETL/ELT, and large-scale data processing experience. * Experience with AWS, preferably SageMaker and Aurora PostgreSQL. * Experience with LangChain/LangGraph, TensorFlow/PyTorch, or similar AI frameworks. * Experience with Java/Spring Boot, REST APIs, Docker, Kubernetes, and Jenkins/CI/CD. * Strong communication, stakeholder management, and problem-solving skills. Preferred Qualifications * Experience combining AI/ML with BI and analytics. * Experience with Snowflake, Databricks, Redshift, Azure Data Factory, or similar data platforms. * Experience with MLOps, DataOps, predictive analytics, AI-powered reporting, or conversational analytics. * Experience measuring AI performance, adoption, operational efficiency, and business outcomes. * Bachelors degree in Computer Science, Information Technology, or related field. ## Description We are seeking a Lead Software Engineer AI / Agentic AI Engineer with strong experience in Python, AI/ML, LLMs, Agentic AI, Data Analytics, and Business Intelligence. The role will focus on developing AI solutions while supporting data-driven reporting, dashboards, and business insights., * Develop and deploy AI/ML, LLM, chatbot, AI search, and Agentic AI solutions. * Build AI agents and intelligent workflows using Python, LangChain, LangGraph, TensorFlow, PyTorch, or similar frameworks. * Integrate AI solutions with APIs, databases, enterprise applications, and AWS. * Develop data pipelines and work with large volumes of data. * Create Power BI, Tableau, or similar BI dashboards and reports, including KPIs and performance metrics. * Develop RESTful services and backend applications using Java and Spring Boot. * Support automated testing, CI/CD, Docker/Kubernetes, deployment, monitoring, and troubleshooting. * Collaborate with Data Scientists, Product Managers, Business Analysts, and stakeholders. * Follow SDLC, DevSecOps, security, governance, and responsible AI practices. ## Related Videos - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse](https://www.wearedevelopers.com/videos/100240-analytics-in-the-age-of-agentic-ai-a-tour-of-clickhouse-and-langfuse) - [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [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) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)