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Why this role
If you like where you work but want harder problems, faster learning, and teammates who raise your game, read on.
Our clients want AI in every system their people use, internal and public, and they want it now. AI-powered development has made it easier to build a precise, integrated app than to wrestle with another dashboard. OCI is hiring Principal Engineers to lead that work from start to finish: discovery, the rollout plan, the proof of concept, and the production build.
This is a hands-on, AI-first role. You build with GenAI every day. You can vibe code a stable, lightweight business app in days, and you know when to slow down and engineer it properly. You don't need to be the deepest hand-coder on the team. You do need to be deep enough to judge what the AI produced, and strong enough as an architect to keep it stable in production.
Recent engagements like this one
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GenAI delivery tools for a Fortune 500 payments network
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An agentic document-QA platform for a community bank
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AI-accelerated DevOps for an aerospace manufacturer
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MCP connectors for a central bank
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</ul>
What you'll do
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Run lightweight discovery across a client's core business processes and platforms: finance, HR, customer, productivity, and the data underneath.
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Shape a company-wide AI rollout plan with the client's executives and agree on what to tackle first.
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Build the proof of concept yourself, quickly, to show what custom AI-powered apps can do.
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Lead the follow-on build: set the architecture, hold the bar on testing, security, and infrastructure as code, and ship to production in the client's cloud.
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Unblock the team, improve how it works, and coach the OCI engineers on the engagement.
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Serve as the technical point of contact for the client sponsor, and bring what you learn back to OCI.
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Typical stack
Claude and Azure OpenAI · Claude Code · MCP · Python and TypeScript · Azure and AWS · Databricks and Snowflake
What we're looking for
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All-in on AI. GenAI coding tools are your main way of building, and you've shipped working business apps that way. You can read and judge Python or TypeScript even if you no longer type most of it.
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Technical depth. Deep in at least one of application development, data engineering, or cloud, and a strong architect across all three.
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Production track record. Technical lead on at least two systems that went live and stayed live, ideally in a regulated industry.
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Real LLM experience. You've built with large language models beyond a demo: retrieval, evaluation, agents, or tool use.
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Business fluency. You can run discovery across core business applications and turn it into a plan an executive will fund.
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Communication. An excellent communicator who's comfortable working directly with executives.
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Leadership. You've led engineers without formal authority and know how to get a team unstuck.
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How you'll spend your time
You'll be staffed on one or two client engagements at a time. The rest of your time goes to scoping new work, mentoring, and building the accelerators OCI uses across engagements.
About OCI
Object Computing is a St. Louis software consultancy of about 130 engineers, designers, and technologists. We build AI, data, and cloud systems for clients in financial services, healthcare, aerospace, and government, and we've been shipping production software for over 30 years.
Not actively looking? Apply anyway, or reach out. Some of our best hires started with "just curious."
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Principal Engineer, AI Engagement Lead

<div>Object Computing, Inc. is seeking a Senior Geospatial Data Engineer to join our Xtrack Product Team. In this role, you will lead the design and implementation of scalable, cloud-based geospatial data infrastructures, and play a key part in shaping our data architecture and product engineering strategy with a focus on improving safety and operational efficiencies for organizations in the rail industry. You will work with cutting-edge technologies in image processing, artificial intelligence, cloud computing, and geospatial database management. Your work will optimize complex business processes and unlock new value from large-scale geospatial datasets.</div>
<h2>What you will do:</h2><ul><li>Architect, design, and maintain robust, scalable data pipelines and infrastructures for geospatial and big data applications maintaining a focus on performance and the ultimate end-user product experience.</li><li>Lead the development and optimization of ETL processes for ingesting, cleaning, transforming, and storing large volumes of geospatial and tabular data.</li><li>Design, build, and interact with API-driven, service-to-service web services (using FastAPI, Litestar, Flask, etc.) to enable integration across a suite of products.</li><li>Collaborate with backend and platform engineers to ensure secure, reliable, and scalable service-to-service communication.</li><li>Translate complex analytics and business questions into actionable, production-grade data solutions.</li><li>Collaborate closely with data scientists, analysts, and business stakeholders to deliver high-impact data products.</li><li>Drive the adoption and optimization of cloud-based data solutions (e.g., GCP, AWS, Azure).</li><li>Ensure data quality, integrity, and security across all stages of the data lifecycle.</li><li>Mentor and provide technical guidance to junior data engineers and team members.</li><li>Communicate technical details and insights clearly to both technical and non-technical audiences, including leadership.</li><li>Proactively recommend and implement improvements to existing data infrastructure and software programs.</li><li>Stay current with industry trends and emerging technologies in geospatial data engineering.</li></ul>
<h2>What you will bring:</h2><ul><li>An excitement and dedication towards manifesting real and measurable impact for customers and clients and a dedication to being a team player towards achievement of those outcomes.</li><li>Experience in software development, data engineering, or big data roles, preferably with a focus on geospatial data.</li><li>Experience building solutions with Python.</li><li>Experience with relational databases (e.g., SQL), including advanced query building, data extraction, and manipulation.</li><li>Experience architecting and optimizing cloud-based data solutions (preferably GCP, AWS, or Azure).</li><li>Deep experience with big data technologies such as Hadoop, Spark, MapReduce, or Kafka.</li><li>Experience integrating with API-driven, service-to-service web services.</li><li>Demonstrated ability to lead projects, mentor team members, and drive technical decisions.</li><li>Strong problem-solving skills, resourcefulness, and ability to work independently or collaboratively.</li><li>Excellent organizational, interpersonal, and communication skills.</li></ul>
<h2>What will make you stand out:</h2><ul><li>Expertise with geospatial libraries and tools (e.g., GDAL, PDAL, PostGIS, GeoPandas, Shapely).</li><li>Experience deploying and scaling machine learning (ML) models/algorithms in production.</li><li>Strong experience with geospatial analytics and working with geospatial data formats (e.g., LAS, LAZ, COPC, GeoTIFF, Shapefiles).</li><li>Experience leading teams in integrating and scaling complex ML/Deep Learning (DL) algorithms.</li><li>Experience working with LiDAR data and deriving real-world insights from point clouds.</li><li>Experience with ESRI products (ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise) or other GIS platforms.</li><li>Experience with data streaming, real-time data processing, or cloud-native geospatial solutions.</li><li>Cloud certifications (e.g., Google Cloud Professional Data Engineer, AWS Certified Data Analytics).</li><li>Experience with OAuth, authentication, and API key management for secure service-to-service communication.</li></ul>

Senior Geospatial Data Engineer

<div>Object Computing, Inc. (OCI)</div><div> </div><div>OCI is seeking experienced Data Engineers to design, develop, and manage data infrastructure for internal and client projects within our AI/ML &amp; Data Insights team.</div><div> </div><div>About OCI</div><div> </div><div>We provide a collaborative environment focused on innovation, leveraging open-source software and strategic partnerships with Amazon and Google to build transformative technology solutions.</div><div> </div>
<h2>Job Responsibilities</h2><ul><li>Design, build, and optimize large-scale data pipelines (Azure, AWS, GCP)</li><li>Develop data ingestion and storage solutions.</li><li>Implement scalable APIs and ensure system performance.</li><li>Manage big data infrastructure and cloud deployments.</li><li>Collaborate with developers, designers, and data scientists.</li><li>Work in an Agile/DevOps environment.</li></ul>
<h2>Core Competencies</h2><ul><li>ETL data engineering (Databricks, SQL Server, Snowflake, BigQuery, Apache Spark).</li><li>Proficiency in Go, Java, Python, or Scala.</li><li>Proficiency in CI/CD pipelines and Infrastructure as Code (IaC) (Terraform, CDK, Ansible).</li><li>Hands-on experience with event-driven architectures (Kafka, Pulsar).</li><li>Strong knowledge of data warehousing, SQL/NoSQL databases, and cloud platforms.</li><li>Experience with distributed computing, DevOps tools, and data governance.</li><li>Familiarity with Delta Lake, Unity Catalog, Delta Sharing, and DLT.</li></ul>
<h2>Preferred Qualifications</h2><ul><li>Degree in Computer Science, Data Engineering, or a related field, or equivalent experience.</li><li>Experience with AI/ML-driven data solutions and real-time data processing.</li><li>Expertise in building scalable APIs and integrating with modern analytics tools (Power BI, Tableau, QuickSight).</li><li>Cloud certifications (Databricks, AWS, Azure, GCP).</li></ul>

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