We are hiring an AI Engineer specializing in Generative AI and agentic systems to drive enterprise innovation across data and AI platforms. Key Responsibilities: * Build and scale AI agents and GenAI ...
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61 Navitaspartners Systems Programmer Jobs Hiring Near You
We are hiring an AI Engineer specializing in Generative AI and agentic systems to drive enterprise innovation across data and AI platforms. Key Responsibilities: * Build and scale AI agents and GenAI ...
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What are the key skills and qualifications needed to thrive as a Systems Programmer, and why are they important?
To thrive as a Systems Programmer, you need expertise in low-level programming languages (such as C or Assembly), operating system concepts, and a degree in computer science or related field. Familiarity with mainframe or server environments, system debugging tools, and certifications in relevant platforms (like IBM z/OS or Linux) are highly beneficial. Strong problem-solving, analytical thinking, and effective communication skills distinguish top performers in this role. These skills are crucial for optimizing system performance, maintaining reliability, and ensuring seamless integration between hardware and software components.
What are some typical challenges faced by systems programmers, and how can they overcome them?
Systems programmers often face challenges such as debugging low-level code, ensuring compatibility across different hardware or operating systems, and addressing performance bottlenecks. These tasks require a deep understanding of computer architecture, operating systems, and programming languages like C or Assembly. Collaborating closely with other IT professionals, such as network administrators and application developers, can help identify and resolve issues more efficiently. Staying current with industry developments and using robust version control and debugging tools are also essential strategies for overcoming these challenges.
What are systems programmers?
Systems programmers are specialized software developers who design, develop, test, and maintain the low-level software that enables computer hardware and software to work together effectively. They often work on operating systems, firmware, device drivers, and other system-level components. Their main focus is on optimizing system performance, ensuring reliability, and enabling hardware-software interoperability. Systems programmers typically have strong knowledge of computer architecture, operating systems, and programming languages like C or assembly.
Does systems programming pay well?
Systems programmers typically earn competitive salaries that reflect their specialized skills in low-level programming, operating systems, and hardware interaction. Compensation varies by experience, location, and industry, but generally, it is above average compared to many other IT roles. Certifications and proficiency with tools like C, C++, and Linux can also influence earning potential.
What is the difference between Systems Programmer vs Software Developer?
| Aspect | Systems Programmer | Software Developer |
|---|---|---|
| Credentials | Typically requires a degree in computer science or related field, with knowledge of low-level programming | Usually holds a degree in computer science, software engineering, or related disciplines |
| Work Environment | Works closely with operating systems, hardware, and system utilities in enterprise or technical settings | Develops applications and software solutions for various platforms, often in business or consumer environments |
| Employer & Industry Usage | Common in IT departments, tech companies, and organizations managing complex systems | Widely employed across tech firms, startups, and any industry requiring software solutions |
While both roles involve programming, Systems Programmers focus on low-level system software and hardware interaction, whereas Software Developers create applications and user-facing software. Understanding these differences helps in choosing the right career path or job search focus.
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AI Engineer - GenAI, Autonomous Agents & Data Platforms - AIRLHV
NavitasPartnersLos Angeles, CA • Hybrid
$40/hr
Full-time
Posted 7 hours ago
Job description
AI Engineer – GenAI, Autonomous Agents & Data Platforms
Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time
Overview:
We are hiring an AI Engineer specializing in Generative AI and agentic systems to drive enterprise innovation across data and AI platforms.
Key Responsibilities:
- Build and scale AI agents and GenAI-driven applications
- Develop pipelines integrating AI with enterprise data platforms
- Ensure system scalability, performance, and governance
- Collaborate with engineering and business stakeholders
Required Skills:
- Strong background in AI/ML and GenAI technologies
- Cloud experience (AWS, Azure, GCP)
- Hands-on implementation of AI solutions
Nice to Have / Coverage:
- ML/AI Engineering: Python, PyTorch, LangChain, MLOps
- Data platforms: Databricks, Snowflake, Synapse, BigQuery
- Experience working with cloud/data platform architects
- Exposure to AI governance and compliance practices
For more details reach at resumes@navitassols.com.