Velocix
Website:
velocix.com
Job details:
Company Description
Velocix develops open and modular software platforms for cloud and on-premises networks, enabling efficient recording, storage, streaming, and monetization of video and media content. Our carrier-grade technology ensures our video platforms meet today’s needs while embracing tomorrow’s opportunities. We believe every video stream should be as unique as its viewer, reflecting diverse and dynamic viewing interests. Join us in shaping the future of television and redefining user experiences across devices.
Experiences:
Total Experience: 8–12 years
DevOps / Software Engineering Background: 5–8 years of solid hands-on development and system integration experience
AI-Specific Experience: 3–4 years minimum working directly with LLMs, AI automation, or agentic systems
Role Description:
1. AI Research & Innovation
- Conduct research on Agentic AI architectures and multi-agent orchestration for developer workflow automation.
- Explore and implement AI-driven systems for automatic code review, SonarQube integration, and report analysis.
- Research and apply prompt engineering techniques for domain-specific code generation and analysis tasks.
- Evaluate multi-model AI systems (ChatGPT, Codex, Claude, Cursor AI etc.) for hybrid workflow optimization.
2. Design , Development & Integration
- Architect and develop AI-enabled DevOps pipelines integrating models like Codex into GitLab/Jenkins CI/CD workflows.
- Build agentic frameworks for autonomous code Review, static analysis, and code correction loops.
- Integrate AI into developer tools such as GitLab, Jenkins, SonarQube, and other CI/CD platforms.
3. Evangelism & Knowledge Leadership
- Serve as an AI thought leader and internal evangelist, driving adoption of AI-powered engineering workflows.
- Conduct workshops, POCs, and internal tech talks on Agentic AI, prompt engineering, and AI-assisted development.
- Mentor engineers in leveraging AI responsibly to enhance productivity, security, and code quality.
Required Skills & Qualifications:
- Programming: Strong coding skills with experience in Python. Familiarity with C/C++, Java, ReactJS, Node.js is a plus.
- DevOps & CI/CD: Experience with GitLab CI/CD, Jenkins, Docker, Kubernetes, and pipeline orchestration.
- AI Tools: Hands-on with ChatGPT, Codex, Claude AI, Cursor AI etc.
- Agentic AI Systems: Demonstrated experience building or researching autonomous multi agent systems.
- Prompt Engineering: Certified or verifiable experience in prompt design, optimization, and evaluation.
- Version Control & Workflow: Advanced Git knowledge (branching, merging, hooks, and PR automation).
- Strong understanding of LLM model behavior, tokenization, and reasoning patterns.
- Experience designing or tuning AI-assisted code review frameworks.
- Deep knowledge of software design patterns, architecture principles, and code quality metrics.
- Experience integrating AI-based decision support systems in CI/CD pipelines.
- Evangelist mindset — able to inspire, educate, and lead AI adoption across technical teams.
- Strong analytical and problem-solving ability; able to bridge research and production.
- Excellent communication and technical writing skills.
- Adaptable and curious — passionate about staying ahead of emerging AI trend
Educational Qualifications:
- Bachelor’s degree in Computer science, Artificial Intelligence, or Software Engineering.
- Research publications or open-source contributions in agentic AI systems, AI code assistance, or DevOps-AI integration.
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