Sr. AI​/ML Engineer

Accentuate Staffing is seeking a Sr AI/ML Engineer with broad experience in Large Language Models (LLMs), AI, and computer vision. This individual will own technical delivery from solution design through deployment, helping customers adopt next-generation AI capabilities while shaping best practices and product evolution. The ideal candidate must be eligible to get a Security Clearance.

• Architect and build LLM-enabled workflows, generative‑AI pipelines, and custom integrations.
• Architect and build computer vision feature extraction, classification, and object detection pipelines.
• Develop prototypes, proof of concept, and small‑scale pilot systems aligned with customer use cases.
• Collaborate with product and research teams to translate requirements into scalable, production‑ready solutions.

• Lead technical discovery, solution scoping, and integration planning with customer engineering teams.
• Deploy AI pilots into customer environments (cloud, on‑prem, hybrid).
• Build and support data ingestion pipelines, API integrations, agent frameworks, and evaluation systems.
• Troubleshoot technical issues and guide customers through adoption and operationalization.

• Provide hands‑on technical guidance to customers during pilot and post‑deployment phases.
• Develop documentation, reference architectures, and repeatable implementation patterns.
• Train customer teams on best practices for general AI systems and workflow integration.
• Serve as the technical advocate for customers internally and influence future product direction.

• Work closely with engineering to relay customer feedback, edge cases, and new integration requirements.
• Partner with sales and customer success to support pre‑sales demos, solutioning, and scoping discussions.
• Contribute to internal and external technical materials (whitepapers, demos, templates).

• Required:
• Ability to obtain Security Clearance.
• Bachelor's degree or higher in Computer Science, Data Science, Artificial Intelligence, or a related field.
• 7+ years of experience in software engineering, ML engineering, or solutions engineering.
• Hands‑on experience with LLM pipelines and workflows as well as computer vision feature extraction, classification, and object detection.
• Strong Python skills and familiarity with AI/ML libraries (PyTorch, Tensor Flow, Lang Chain, Llama Index, etc.).
• Experience deploying AI applications via cloud platforms (AWS, GCP, Azure) or on‑prem environments.
• Demonstrated success delivering customer‑facing pilots, proofs of concept, or integrations.
• Excellent communication skills with the ability to translate technical concepts to diverse audiences.
• Preferred:
• Familiarity with MLOps workflows, CI/CD, containerization (Docker/Kubernetes).
• Background in enterprise data systems or API‑first architectures.
• Previous technical consulting or field engineering experience