AI Engineers

Vrddhi Solutions LLC

United States

24 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

2 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Software Applications Cloud Computing Cyber Security Information Systems Computer Programming Continuous Integration Cursor Distributed Systems Python (Programming Language)

+12 more

Secure Coding Software Engineering Enterprise Software Applications GitHub Copilot Large Language Models Multi-Agent Systems Software Security Generative AI Git Kubernetes Information Technology Programming Languages

Requirements

You are a software engineer with 8+ years of professional experience building, deploying, and supporting modern applications and distributed systems.
You have 2+ years of hands-on experience working with AI technologies, including Large Language Models (LLMs), agentic systems, retrieval-augmented generation (RAG), AI-powered applications, or intelligent automation solutions.
You enjoy designing, building, and securing AI-enabled applications while balancing innovation, scalability, reliability, and security.
You possess strong programming skills in Python, Go, Rust, JavaScript, or similar modern programming languages and can confidently work in production environments.
You have a strong interest in application security and secure software engineering and can identify, assess, and mitigate risks in both traditional and AI-powered systems.
You are experienced using AI-assisted development tools such as GitHub Copilot, Cursor, Windsurf, VS Code Agent, or similar technologies.
You thrive in collaborative environments and enjoy partnering with engineering, security, product, and operations teams to deliver business outcomes.
You are passionate about continuous learning, emerging technologies, and advancing the adoption of secure and responsible AI solutions.
Flexible Work Schedule: The ideal candidate is adaptable with their work schedule and comfortable supporting occasional late-night deployments, production incidents, maintenance activities, and on-call responsibilities as business needs require.
Technology Adaptability: Demonstrates a willingness and ability to continuously learn, adopt, and work with new technologies, tools, frameworks, and platforms as business and project requirements evolve. Maintains awareness of emerging trends in AI, application security, cloud computing, and software engineering to drive innovation and continuous improvement., + 5-7 years of professional software engineering experience developing, deploying, and supporting enterprise applications.
2+ years of hands-on experience with AI technologies, including LLMs, AI agents, generative AI applications, RAG architectures, or AI-powered automation solutions.
Bachelor’s degree in Computer Science, Cybersecurity, Information Systems, Software Engineering, or a related technical discipline, or equivalent practical experience.
Strong programming experience in Python, Go, Rust, JavaScript, or similar development languages.
Experience with cloud-native development, APIs, containers, Kubernetes, CI/CD pipelines, and Git-based development workflows.
Solid understanding of secure coding principles, application security fundamentals, and common vulnerability classes.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent written and verbal communication skills with the ability to work effectively across technical and business teams.
Ability and willingness to work a flexible schedule, including occasional late-night deployments, production support activities, incident response efforts, maintenance events, and on-call responsibilities as business needs require.
Demonstrated ability to rapidly learn, adopt, and effectively utilize new technologies, tools, frameworks, and platforms in a fast-paced engineering environment.
Strong commitment to continuous learning and professional development across software engineering, artificial intelligence, cybersecurity, and cloud technologies.

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