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# Software Engineer

- **Company:** Ford Motor Company
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $100,000.0 - $193,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Java (Programming Language), Test Suite, Adobe InDesign, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Software Applications, Computing Platforms, JIRA, Automation of Tests, Microsoft Azure, C++ (Programming Language), Code Review, Computer Engineering, Continuous Integration, Extract Transform Load (ETL), Database Design, DevOps, Distributed Data Store, Django Web Framework, Identity and Access Management, Python (Programming Language), MongoDB, Open Source Technology, Requirements Management, Software Engineering, Systems Architecture, Web Application Frameworks, Openapi, Enterprise Software Applications, Test-Driven Development (TDD), GitHub Copilot, ReactJS, System Availability, Flask (Web Framework), Delivery Pipeline, Large Language Models, Multi-Agent Systems, Spring-boot, Generative AI, Build Server, Backend, Fastapi, Vue.js, AngularJS, Information Technology, Low Latency, Atlassian Tools, Enterprise Integration, Front End Software Development, Terraform, Data Pipelines, Docker, Jenkins
- **Published:** September 25, 2026
- **Apply:** https://www.builtincolorado.com/job/senior-software-engineer/11354809?handler=ApplyRedirect

## About the Role

This Software Engineer position is ideal for a technically oriented, forward-thinking individual who has experience designing, building, and deploying cloud applications, and who is eager to pioneer the use of Agentic AI and LLMs to solve complex industrial analytics challenges., * Requires a bachelor's or foreign equivalent degree in computer science, information technology or a technology related field.

 * 4+ years of professional experience in Software Engineering.
 * 3+ years of experience with modern frontend frameworks (Angular, React, or Vue).
 * 3+ years of experience with backend frameworks (FastAPI, Flask, Django, or Spring Boot).
 * 2+ years of experience with Python (highly preferred for AI/Data) and/or Java.
 * Exposure to or hands-on experience integrating LLM APIs (e.g., OpenAI, Anthropic, Vertex AI) or open-source models into software applications., * Master's degree in Computer Science, Computer Engineering, or a related quantitative field.
 * AI & Agentic Frameworks: Proven experience working with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and multi-agent development platforms (e.g., CrewAI, AutoGen, Semantic Kernel).
 * Vector Databases & Data Pipelines: Familiarity with vector databases (e.g., PGVector, Chroma, Pinecone, Milvus) and embedding techniques for semantic search and RAG.
 * Software Craftsmanship: Deep understanding of software engineering disciplines inclu,ding eXtreme Programming (XP), Clean Code principles, Test-Driven Development (TDD), and Pair/Mob programming.
 * Cloud & DevOps: Experience developing and deploying to cloud platforms (GCP, Azure, or AWS) using modern CI/CD tools (Tekton, Terraform, Jenkins, Cloud Build).
 * Agile Mindset: Experience working with Agile tools (Jira, Rally) in a fast-paced, collaborative, continuous-delivery environment.
 * Strong communication and collaboration skills, with a passion for leveraging cutting-edge technology to amaze and delight our business partners and customers.

## Description

Industrial Systems Analytics (ISA) is a product group that develops cutting-edge, on-premises and cloud analytic solutions. We are modernizing our portfolio by embedding Generative AI, Large Language Models (LLMs), and autonomous agentic workflows to revolutionize how Ford manages industrial data., As a Full-Stack Software Engineer on our Balanced Product Team, you will collaborate closely with Product Managers, Product Designers, and fellow engineers to deliver next-generation analytical solutions. You will be responsible for the full lifecycle of these solutions-from design and development to deployment, maintenance, and AI-driven optimization.

 * AI & Agentic Solution Development: Architect, build, and deploy LLM-powered applications, Retrieval-Augmented Generation (RAG) pipelines, and multi-agent systems to automate complex data analysis, anomaly detection, and decision-support workflows.
 * AI-Assisted Software Engineering: Champion the use of generative AI tools and agentic coding assistants (e.g., GitHub Copilot, custom LLM agents) to streamline the software development lifecycle, automate testing, and accelerate CI/CD pipelines.
 * Product & Requirements Management: Collaborate with cross-functional teams to translate business goals into technical requirements, user stories, and test suites within an Agile framework.
 * Technical Design & Architecture: Author comprehensive technical design documents, system architecture diagrams, and API specifications to ensure scalable, secure, and maintainable solutions.
 * Modern Operations & DevOps: Build robust CI/CD deployment pipelines, integrate automated security/quality scanning, and implement modern Identity & Access Management (IAM) and automated credential rotation.
 * Reliability & Continuous Improvement: Participate in proactive problem management, root cause analysis (RCA), and incident resolution to ensure high availability of critical analytical systems., Build and operate scalable full-stack software and AI-powered products for physical operations. Own technically complex areas, define technical strategy, develop backend services, APIs, frontend and potentially mobile experiences, and translate customer problems into measurable outcomes. Lead cross-team initiatives, mentor engineers, participate in technical reviews, and raise engineering quality and velocity.
Top Skills: Agentic WorkflowsAIAPIsCursorGoIotJavaScriptLlmsMachine LearningPythonReactRecommendation SystemsTypescript
MongoDB

Senior Software Engineer

Yesterday
Easy Apply
Remote or Hybrid
United States
Easy Apply
126K-248K Annually
Senior level
126K-248K Annually
Senior level
Big Data * Cloud * Software * Database
Build and maintain MongoDB's distributed database infrastructure for cluster scalability. Design data partitioning, data movement, dynamic scaling, workload execution, and resilient distributed protocols. Solve complex performance and low-latency systems problems, contribute production-quality C++ code, participate in design and code reviews, lead new feature development, and mentor engineers.
Top Skills: C++Data PartitioningDistributed SystemsLow-Latency NetworkingMongoDBSystem Observability
Unanet


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