Platform Engineer – Internal Platforms, Data & AI Systems
Company: Dynamic Systems, Inc.
Location: Buda
Posted on: January 1, 2026
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Job Description:
Dynamic Systems, Inc. (DSI) is a leading mechanical and process
construction contractor with a long history of innovation and
technical excellence. We’re building the next generation of
internal data, automation, and AI platforms that empower project
teams, engineers, and decision-makers across the organization. Our
IT & Data Engineering group is at the forefront of DSI’s digital
transformation—consolidating systems, automating workflows, and
integrating Microsoft Fabric, Power BI, and custom AI solutions to
drive better outcomes across accounting, field operations, and
project management. This team values engineering craftsmanship,
cross-disciplinary collaboration, and modern development practices
to help DSI scale into a data-driven enterprise. Overview We are
seeking a Platform Engineer to help design, build, and enhance
DSI’s internal platforms, data infrastructure, and AI-powered
applications. This role blends backend development, data
engineering, and systems integration to support our automation and
analytics initiatives. You’ll work closely with developers, data
engineers, and AI specialists to deliver reliable, scalable, and
intelligent internal tools. This position is ideal for a developer
or data engineer with strong Python experience who enjoys building
data-driven systems, connecting services, and working across
multiple layers of the technology stack. Key Responsibilities 1.
Platform & Application Development Develop and maintain backend
APIs and internal services using Python (FastAPI Uvicorn) and
Pydantic v2. Support the architecture and implementation of shared
tools and libraries across the internal platform. Build
integrations that connect the automated system, data ingestion
workflows, and AI-enabled features. 2. Data Engineering & Pipeline
Development Design and manage data ingestion pipelines using
Fabric, pandas, and Postgres. Create repeatable ETL/ELT workflows
for processing engineering specifications, RFIs, and compliance
documentation. Work with structured and unstructured data to
improve data quality, consistency, and accessibility. Optimize
database performance, queries, and storage structures to support
analytics and AI workloads. Collaborate with the DevOps and AI
teams to implement data versioning, schema evolution, and lineage
tracking. 3. AI & System Integration Partner with AI/ML engineers
to integrate machine learning models and LLM-based features into
production applications. Develop APIs and services for model
inference, data enrichment, and prompt orchestration. Contribute to
ongoing efforts to embed AI capabilities within internal systems
and automation workflows. 4. Quality, Reliability & Observability
Write clean, tested, and maintainable code using pytest, Ruff, and
pre-commit workflows. Support CI/CD processes (Hatch, Makefile) to
ensure smooth deployment and integration Implement monitoring,
metrics, and dashboards using Prometheus and Grafana for visibility
into system health. 5. Collaboration & Continuous Improvement Work
closely with data engineers, developers, and DevOps to deliver
consistent, well-documented releases. Participate in code reviews,
design discussions, and architecture improvements. Suggest
enhancements to developer tooling, automation, and observability
practices. Contribute to documentation for workflows, data
pipelines, and service configurations. Qualifications • Strong
experience coding in Python for backend and data workflows. •
Hands-on experience with FastAPI, Pydantic, and asynchronous API
development. • Working knowledge of SQL, Fabric, and Postgres. •
Experience designing and maintaining ETL/ELT pipelines using pandas
or similar frameworks. • Familiarity with Azure services for
deployment, storage, or orchestration. • Understanding of CI/CD
pipelines, logging, and monitoring practices. • Interest in or
basic experience with AI/ML integration, including NLP or LLM-based
systems. • Ability to learn new tools quickly and work
collaboratively in a multidisciplinary engineering environment. Why
Join DSI At Dynamic Systems, you’ll join a tight-knit,
high-performing engineering team that collaborates closely with
data, AI, and construction experts to bring automation and insight
to every level of the company. You’ll have the opportunity to: •
Work on enterprise-scale systems that shape how we manage large
construction projects nationwide. • Partner with experienced BI
Engineers, Data Engineers, and AI Developers on next-generation
solutions. • Grow into a senior or lead platform role in a company
that truly values technical creativity, learning, and innovation.
Benefits: Competitive salary, health insurance, 401(k), and a
collaborative onsite culture focused on professional growth and
innovation. PIe6194d49bfe7-37456-39076048
Keywords: Dynamic Systems, Inc., Georgetown , Platform Engineer – Internal Platforms, Data & AI Systems, Engineering , Buda, Texas
