Lead AI Engineer

Job Overview:
Pay Range: $55.00hr - $60.00hr Requirement/Must Have:
Bachelor's & Master's degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent practical experience). Experience in agentic frameworks and protocols (e.g., Lang Graph, Llama Index, Auto Gen, CrewAI, MCP) and with RAG and tool-use patterns.

Experience with distributed training and inference optimization (quantization, batching, GPU utilization). Exposure to containerization and orchestration (Docker, Kubernetes). Strong track record of working with roughly 10+ AI/ML projects deployed to production. Deep algorithmic and deep learning expertise with strong solutioning and customer-facing skills. Responsibilities:
Design end-to-end ML/LLM and agentic solutions, from problem framing and data strategy through to deployment and monitoring. Architect agentic systems: multi-step, tool-using, and multi-agent workflows: including orchestration, tool/function integration, memory, and guardrails. Own the technical architecture for solutions: model selection, fine-tuning approach, agent/orchestration design, serving strategy, API design, and infrastructure footprint. Lead and mentor a team of data scientists and developers, break complex, ambiguous customer requirements into structured project plans with clear milestones and deliverables.

Apply strong algorithmic fundamentals to select, adapt, and implement the right approach for each problem: classic ML, deep learning, or generative/agentic AI. Build deep learning models on unstructured data (images, video, text, audio, sensor/time-series) for real-world production use. Design and ship computer vision solutions (detection, classification, segmentation, OCR, tracking, etc.) at production quality and scale. Develop forecasting models (time-series and demand/behavioral forecasting) and integrate them into decisioning workflows.

Work with foundation models including Claude and other LLMs: prompting, fine-tuning, evaluation, and integration. Nice to Have:
Familiarity with MLOps tooling (experiment tracking, CI/CD for ML, model registries, monitoring).

Skills:

AI. ML. LLM. Claude. PyTorch. Tensor Flow. Keras. JAX. PyTorch Lightning. Hugging Face Transformers. PEFT (LoRA/QLoRA). TRL. Accelerate. Deep Speed. bitsandbytes. Axolotl. Unsloth. vLLM. TGI. Ollama. Lang Chain. Llama Index. Claude Agent SDK. Anthropic / OpenAI SDKs. Lang Graph. Auto Gen. CrewAI. Semantic Kernel. Model Context Protocol (MCP). OpenCV. Detectron
2. Segment Anything (SAM). Prophet. GluonTS. Darts. scikit-learn. OR-Tools. Sci Py. PuLP. Gurobi/CVXPY. Docker. Kubernetes. Qualification And

Education:

Strong verbal and written communication skills. Excellent communication and presentation skills. Ability to communicate effectively with stakeholders. Benefits:
Our Benefits Include:
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

Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems 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.