Senior Software Cloud Fullstack Developer (Self Driving)Stefanini • Springfield, Missouri, United States
Senior Software Cloud Fullstack Developer (Self Driving)
Stefanini
- Springfield, Missouri, United States
- Springfield, Missouri, United States
À propos
Job ID#: 3829
Category: Manufacturing
Position Type Contractor (W-2) Job Description Job Title: Staff AI/ML Full-Stack Engineer & Technical Lead (Contract ? 1 Year)
Location: Remote (Normal, IL)
Employment Type: Full-Time
Overview We're hiring a Staff AI/ML Engineer & Technical Lead to own the architecture and delivery of scalable, enterprise‑grade AI applications. This is a hands‑on leadership role spanning full‑stack development, cloud infrastructure, and end‑to‑end ML system design.
Responsibilities
Lead system architecture, technology selection, and integration design
Build and scale full‑stack applications (React/Vue/Streamlit/Angular + Python/Golang/Rust)
Design and deploy cloud‑native systems on AWS using Docker and Kubernetes
Develop REST and GraphQL APIs for internal and external use
Implement CI/CD pipelines, automated testing, and IaC (Terraform, Pulumi)
Optimize performance, scalability, and reliability across systems
Mentor engineers and enforce best practices through code/design reviews
Partner with product and business teams to deliver impactful solutions
Requirements
Strong experience in full‑stack engineering and system architecture
Deep knowledge of AWS and Databricks (required); GCP is a plus
Expertise in database selection, deployment, and DevOps practices
Hands‑on experience with ML and LLM systems (RAG, vector DBs, embeddings)
Solid understanding of MLOps, including deployment and monitoring pipelines
Experience building and deploying production‑grade AI/ML applications end‑to‑end
Job Requirements Required Qualifications
Bachelor's degree in Computer Science (required)
10+ years of enterprise cloud deployment experience; 5+ years in software development
5+ years of hands‑on experience with AWS and Databricks in MLOps environments
Strong background as a hands‑on software lead building cloud infrastructure and platforms
Core Expertise
Architect and deploy end‑to‑end AI/ML systems, including traditional ML and RAG‑based applications
Design agentic AI pipelines and reusable frameworks for team‑wide contribution
Define best practices for model serving, data pipelines, and MLOps strategies
Hands‑on experience with model development and system architecture
Technical Skills
Expertise in ML, deep learning, LLMs, embeddings, and RAG frameworks
Strong software engineering skills: Python, APIs, microservices, database design, Git
Experience with AWS, Databricks (required), and GCP (preferred)
Proficiency in containerization and orchestration (Docker, Kubernetes)
Solid understanding of MLOps, CI/CD for AI, and production monitoring
Experience with distributed systems, scalable architectures, and data pipelines
Database selection, deployment, and optimization with strong DevOps practices
Preferred Qualifications
Experience with event‑driven architectures and messaging systems (Kafka, RabbitMQ, NATS)
Familiarity with authentication/authorization (OAuth2, JWT, SSO)
Knowledge of observability tools (Prometheus, Grafana, OpenTelemetry)
Experience building large‑scale enterprise or SaaS platforms
Proficiency in Python, Golang, or Rust
Experience in manufacturing, predictive maintenance, or controls engineering
Soft Skills
Strong problem‑solving and decision‑making in complex technical environments
Ability to lead architectural direction and influence across teams
Clear communication with both technical and non‑technical stakeholders
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Compétences linguistiques
- English
Avis aux utilisateurs
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