AI Engineers – Future Opportunities (Pipeline Posting)
About The Position
LingaTech is building a pipeline of experienced AI Engineers for anticipated future needs supporting both Commonwealth and commercial clients. This posting is not tied to an active requisition. We are proactively identifying AI and machine learning talent for upcoming contract and contract-to-hire roles If you have experience designing, training, and deploying AI/ML models or working with modern AI tools and frameworks, we welcome you to join our pipeline. You may be considered for future opportunities such as: AI Engineer / Machine Learning Engineer Data Scientist (AI-focused) ML Ops Engineer Generative AI Engineer AI Solutions Architect NLP Engineer Computer Vision Engineer AI Research Engineer
Requirements
- Hands-on experience in AI/ML model development or AI-driven engineering
- Proficiency in Python and common AI frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.)
- Experience with cloud AI services (Azure AI, AWS Sagemaker, GCP Vertex AI)
- Strong understanding of model lifecycle, tuning, and evaluation
- Ability to translate business needs into AI-driven solutions
- Strong analytical and problem-solving abilities
Nice To Haves
- Experience with LLMs, RAG, vector databases, or Generative AI tools
- Experience with ML Ops platforms (Databricks, MLflow, Sagemaker Pipelines, Azure ML)
- Experience with NLP, computer vision, or deep learning techniques
- Experience deploying AI into production environments
- Public sector or enterprise experience
- AI/ML certifications or relevant graduate-level coursework
Responsibilities
- Designing, building, and deploying machine learning and AI models
- Working with LLMs, generative AI, NLP, or computer vision tools
- Running experiments, evaluating models, and tuning parameters
- Developing and maintaining data pipelines for AI/ML workloads
- Building APIs or services to operationalize AI models
- Applying prompt engineering or retrieval-augmented generation (RAG) techniques
- Using cloud platforms (Azure, AWS, GCP) for AI deployments
- Collaborating with product, data, and engineering teams
- Ensuring responsible AI practices and model governance
Benefits
- Early consideration for upcoming AI, ML, and data-driven roles
- Opportunities across modernization, automation, analytics, and cloud-AI integrations
- Visibility for short-term projects, long-term engagements, and direct-hire roles
- Access to a relationship-driven team supporting major Central PA clients
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
11-50 employees
