OSI Engineering

About the Company

OSI Engineering is a leading Technology Workforce Solutions provider across the globe. The company develops, implements and manages workforce solutions through every stage of the product lifecycle, from early application development through final production, delivering the highest-level technology outcomes. Our capabilities include managed service programs, contingent workforce services and recruitment process outsourcing (RPO) solutions.

With a remarkable track record spanning over 25 years, OSI has successfully delivered workforce solutions to industry leaders. We've earned a reputation as the trusted go-to resource for swiftly scaling effective teams that drive technological advancement and corporate growth. And we do so with the strength of our diversity and great pride.

At OSI, we foster strategic partnerships with leading global technology companies, delivering workforce solutions to make the future brighter for all of us.

Listed Jobs

Company Name

OSI Engineering

Job Title

AI Data & Python Tools Engineer for a well-known consumer device company in Austin, TX

Job Description

**Job title:** AI Data & Python Tools Engineer **Role Summary:** Design, develop, and deploy production‑ready AI applications and data pipelines using Python, React, and modern ML frameworks. Lead rapid prototyping, performance tuning, and scalable cloud deployment. Integrate Model Context Protocol (MCP) systems and maintain end‑to‑end technical documentation. **Expectations:** - Deliver production‑grade AI tools on a fast schedule. - Collaborate with product, engineering, and data science teams to solve complex problems. - Maintain code quality through reviews, documentation, and solid testing practices. - Operate within a cloud‑native, containerized environment. **Key Responsibilities:** 1. Build full‑stack AI applications with Python (backend) and React (frontend). 2. Design and orchestrate end‑to‑end data pipelines; stream, process, and transform data. 3. Train, validate, and deploy ML models; perform rigorous evaluation and monitoring. 4. Implement MCP server components and integrate with AI assistants and vector databases. 5. Provision and manage cloud resources (AWS/GCP/Azure) and big‑data platforms (Spark, Kafka). 6. Create and maintain data warehouses (Snowflake, BigQuery, Redshift) and data lakes. 7. Apply containerization (Docker, Kubernetes) and infrastructure‑as‑code for scalable deployments. 8. Contribute to API design, UX/UI for internal tools, and MLOps pipelines (Airflow). **Required Skills:** - Strong Python fundamentals; experience building backend services and data processing pipelines. - Familiarity with ML/DL frameworks: TensorFlow, PyTorch, scikit‑learn. - Knowledge of LLMs, vector databases, retrieval systems, and MCP integration. - Cloud expertise (AWS, GCP, or Azure) and big‑data technologies (Spark, Kafka). - Data warehouse and lake skills: Snowflake, BigQuery, Redshift. - Containerization (Docker, Kubernetes) and IaC. - Proficient in API development; basic front‑end experience with React (preferred). - Understanding of MLOps practices (Airflow) and real‑time analytics. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, Data Science, or related field. - Relevant cloud certification (AWS/Azure/GCP) is a plus.

Austin, United states

Hybrid

08-12-2025

Company Name

OSI Engineering

Job Title

Senior Backend Software Engineer (Data and ML Innovation)

Job Description

**Job title:** Senior Backend Software Engineer (Data and ML Innovation) **Role Summary:** Lead design, development, and scaling of backend systems that ingest, process, and serve training and inference data for large‑scale AI/ML models. Drive data augmentation strategies, streamline data pipelines across GCP and AWS, and support real‑time inference workloads. **Expectations:** - Deliver high‑performance, production‑ready Python services within a contract period (3 months, extension possible). - Modernize data infrastructure, ensuring reliability and scalability across cloud platforms. - Collaborate cross‑functionally to align data quality and availability with ML training needs. **Key Responsibilities:** 1. Design and implement data pipelines that transform raw datasets into formats suitable for downstream training jobs on GCP and AWS. 2. Build and optimize scalable backend services and REST APIs powering data inspection and access tools. 3. Develop large‑scale inference components using internal and open‑source stacks to run fine‑tuned LLMs on massive datasets. 4. Engineer efficient data filtering and processing workflows for noisy, high‑volume datasets. 5. Maintain and enhance storage solutions (Redis, VectorDB, or equivalent) for fast, scalable data retrieval. 6. Contribute to DevOps practices: CI/CD pipeline setup (Jenkins, Maven, Docker, Gradle) and monitoring. 7. Provide architectural guidance and code reviews for team members and stakeholders. **Required Skills:** - 10+ years of Python programming, including concurrency, parallelism, functional patterns, and decorators. - Proficient in REST API design and development. - Experience with large‑scale data stores (Redis, VectorDB, or similar). - Strong background in algorithms, data structures, OOP, and software design principles. - Familiarity with additional languages such as Java, Go, Rust, or Swift. - Cloud platform expertise: GCP and AWS data services. - Knowledge of message streaming (Kafka) and build tools (Jenkins, Maven, Docker, Gradle). - Excellent communication, critical thinking, and problem‑solving abilities. **Required Education & Certifications:** - Bachelor’s degree in Computer Science or equivalent experience. - (No specific additional certifications required.)

Cupertino, United states

Hybrid

Senior

19-12-2025