Generative AI Engineer
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Key skills for this role
About the Role
Careernet is looking for a motivated Junior AI Engineer with 2–3 years of experience to work on a production-grade Agentic AI platform in Ajman. The role involves maintaining AI agents, debugging behavior, developing automations, and managing AWS infrastructure.
Key Skills for This Role
Responsibilities
- Maintain and enhance production AI agents and workflow automation systems
- Debug and improve agent behavior, tool usage, routing logic, and response quality
- Develop and support customer facing and internal business process automations
- Work with PostgreSQL databases, APIs, and backend services to enable AI driven workflows
- Manage and troubleshoot AWS infrastructure, Docker deployments, and CI/CD pipelines
- Monitor system performance through logging, telemetry, and observability tools
- Collaborate with cross functional teams to deliver secure, reliable, and scalable AI solutions
Requirements
- 2–3 years of experience in Software Engineering, AI Engineering, or Backend Development
- Strong programming skills in Python and/or JavaScript/TypeScript
- Experience with Git, Docker, REST APIs, and software development best practices
- Familiarity with AWS services such as EC2, RDS, CloudWatch, IAM, and cloud deployments
- Understanding of LLMs, Agentic AI, RAG, tool calling, or AI powered applications
- Hands on experience with SQL databases and backend systems
- Strong analytical, debugging, and problem solving abilities
Full Job Posting
About the Job
- Position: Junior AI Engineer – Production Agentic AI Systems
- Location: Ajman
- We are looking for a motivated AI Engineer with 2–3 years of experience to work on a live, production grade Agentic AI platform supporting customer operations and business workflows.
- This role offers the opportunity to work across AI agents, cloud infrastructure, automation, databases, and enterprise scale AI deployments.
Key Responsibilities
- Maintain and enhance production AI agents and workflow automation systems.
- Debug and improve agent behavior, tool usage, routing logic, and response quality.
- Develop and support customer facing and internal business process automations.
- Work with PostgreSQL databases, APIs, and backend services to enable AI driven workflows.
- Manage and troubleshoot AWS infrastructure, Docker deployments, and CI/CD pipelines.
- Monitor system performance through logging, telemetry, and observability tools.
- Collaborate with cross functional teams to deliver secure, reliable, and scalable AI solutions.
Qualifications & Skills
- 2–3 years of experience in Software Engineering, AI Engineering, or Backend Development.
- Strong programming skills in Python and/or JavaScript/TypeScript.
- Experience with Git, Docker, REST APIs, and software development best practices.
- Familiarity with AWS services such as EC2, RDS, CloudWatch, IAM, and cloud deployments.
- Understanding of LLMs, Agentic AI, RAG, tool calling, or AI powered applications.
- Hands on experience with SQL databases and backend systems.
- Strong analytical, debugging, and problem solving abilities.
Nice to have
- Experience with OpenClaw, LangGraph, CrewAI, LlamaIndex, DSPy, or similar AI frameworks.
- Knowledge of vector databases, embeddings, prompt engineering, and model evaluation.
- Familiarity with AI coding assistants such as Cursor, Claude Code, or Codex.
- Understanding of cloud security, observability, and CI/CD automation.
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