AI Engineer
Iselin, New Jersey(Onsite)
Face2Face Interview
Long Term Contract
JD :
Candidates did not have a lot of app development experience. Submittals seem to be more of devops integrator with a little app dev knowledge. Looking more on dev side vs infrastructure. Someone who has implemented AI modules and very hands-on.
Overview
An AI Engineer bridges the gap between artificial intelligence development and operations, ensuring that AI models and systems are deployed efficiently, monitored effectively, and maintained reliably in production environments.
Key Responsibilities
AI / ML Engineer
- Implement version control for code, data, and models using GitLab, SonarQube, Jenkins, Artifactory
- Automate testing frameworks using AI capabilities, including model validation tests
- Design blue / green deployment strategies using AI capabilities
- Automated build, scans and deploy including vulnerability remediation capabilities
Required Qualifications
Bachelor's degree in Computer Science, Engineering, or related field7+ years of experience in DevSecOps, Site Reliability Engineering,Hands on knowledge of AI tools, Models, practical use case implementationProficiency in at least one programming language commonly used in AI (Python, Java)Hands-on experience with cloud platforms (AWS, Azure, GCP)Understanding of ML frameworks (TensorFlow, PyTorch, scikit-learn)Experience with CI / CD tools (Jenkins, GitHub, GitLab CI, Artifactory)Hands on experience with automated security vulnerability detection and remediation using security scanning tools in DAST / SAST / IAST scanning spaceHands on experience building and deploying Agentic capabilities using AI Agentic tools, processes across the technology and business landscapeSkills
LLM ( Claude / OpenAI) with focus on reasoning / agentic use casesAgentic AI framework LangChain, LangGraph, CrewAIContext EngineeringMCPVector databasesRAGPython language proficiency is must.Deep understanding of cloud engineering as related AI, DevOps, AutomationStrong troubleshooting and problem-solving abilitiesExcellent communication skills to work with both data scientists and operations teamsFamiliarity with agile development methodologiesKnowledge of security best practices for AI systems