AI Engineer
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+20 more
Job description
- Build AI agents and multi-agent systems using frameworks with LangGraph and LangChain tools.
- Develop and tune prompt engineering workflows across multiple LLMs (GPT, Claude, LLaMA), balancing reliability, cost, and latency.
- Develop REST APIs, WebSocket services, and event-driven pipelines for real-time AI services that remain stable under load.
- Automate testing and releases through Jenkins CI/CD, and maintain code and documentation standards using Git, Jira, and Confluence.
- Deployment of AI Application in enterprise adhering to best practices.
- Use AI-augmented development tools such as Claude Code and Codex to accelerate delivery.
- Coordinate with platform, security, and product teams to deliver scalable, secure deployments.
Requirements
- 3-5 years in Machine Learning, AI, or a related field, with production systems delivered.
- At least 1 year building custom Agentic AI applications.
- Strong Python skills and sound modern development practices.
- Hands-on experience with LLMs and prompt engineering across the full application lifecycle.
- Demonstrated experience building AI agents with LangGraph.
- Familiarity with at least one enterprise cloud AI platform for building and deploying agentic applications, such as Azure AI Foundry, AWS Bedrock, or Google Gemini Enterprise, including cloud-native deployment practices.
- Working knowledge of REST APIs, WebSockets, and event-driven systems.
- Proficiency with CI/CD tooling (Jenkins) and version control (Git).
- Fluency with AI-augmented development tools for rapid prototyping.
- Strong written and verbal communication skills.
- Analytical approach to problem-solving.
- Ability to work independently within a cross-functional team.
- Data layer curations and integration with source system for agentic application., * Familiarity with Databricks.
- Exposure to MLOps/LLMOps workflows and application monitoring.
- Knowledge of enterprise security, compliance, and governance for AI systems.
- Familiarity with code and model lifecycle management practices.
Benefits & conditions
- Medical, Dental, and Vision Insurance
- 401(k) Retirement Plan
- Health Savings Account (HSA)
- Disability Insurance (Short-Term and Long-Term)
- Life and AD&D Insurance
- Paid Sick Leave (where required by applicable state or local law)
- Supplemental Insurance Plans
- Identity Theft Protection
- Pet Insurance
- Employee Wellness Programs
- Employee Assistance Program (EAP)
- Career Growth and Professional Development Opportunities
About the company
Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Loading talks and stories from around this roleβ¦