What are the responsibilities and job description for the AI Engineer / Technical Development Lead position at Jobs via Dice?
(LLMs, ML, MLOps, Team Leadership)
Role: Contract to Hire (H1 Visa will be considered)
Location: Onsite - DTC (Denver Tech Center) 4 days a week
Experience: Senior / Lead Level
About The Role
We are looking for a highly experienced AI Engineer / Technical Lead to guide the development and deployment of advanced AI solutions across our product ecosystem. This person will combine deep hands-on technical expertise with strong leadership instincts-someone who can architect solutions, mentor engineers, drive technical strategy, and consistently ship high-quality production systems.
You will lead initiatives that include LLM fine-tuning, Retrieval-Augmented Generation (RAG), agent-based workflows, and full ML lifecycle ownership, ensuring that models are reliable, scalable, and impactful. If you're passionate about building real, production-ready AI systems, not research prototypes and want to help shape the next generation of intelligent applications, this is the perfect role.
What You'll Do
Role: Contract to Hire (H1 Visa will be considered)
Location: Onsite - DTC (Denver Tech Center) 4 days a week
Experience: Senior / Lead Level
About The Role
We are looking for a highly experienced AI Engineer / Technical Lead to guide the development and deployment of advanced AI solutions across our product ecosystem. This person will combine deep hands-on technical expertise with strong leadership instincts-someone who can architect solutions, mentor engineers, drive technical strategy, and consistently ship high-quality production systems.
You will lead initiatives that include LLM fine-tuning, Retrieval-Augmented Generation (RAG), agent-based workflows, and full ML lifecycle ownership, ensuring that models are reliable, scalable, and impactful. If you're passionate about building real, production-ready AI systems, not research prototypes and want to help shape the next generation of intelligent applications, this is the perfect role.
What You'll Do
- Lead and mentor AI/ML engineers while shaping technical strategy and best practices
- Architect, build, and deploy LLM- and ML-powered systems into production
- Develop and optimize RAG pipelines, evaluation strategies, and agentic workflows
- Partner with cross-functional teams (Product, Engineering, Data, Ops) to deliver business impact
- Promote engineering excellence through code reviews, technical design, documentation, and guidance
- Build reliable, scalable, and responsible AI systems that meet enterprise-grade standards
- 8 years of engineering or technical leadership experience
- 2 years of hands-on LLM experience (fine-tuning, RAG, prompt engineering, agentic workflows)
- 5 years of ML/Data Science background with real production deployments
- Proven ability to mentor engineers, build strong teams, and lead architectural decisions
- Excellent communication skills and comfort presenting to technical non-technical stakeholders
- LLMs & GenAI: Fine-tuning (LoRA/QLoRA), embeddings, RAG, evaluation, prompt strategy, agent frameworks
- ML Engineering: Deep learning (PyTorch/TensorFlow), classical ML, feature engineering, model monitoring
- MLOps: MLflow, Kubeflow, Vertex AI, Sagemaker, CI/CD, Docker, Kubernetes, observability tooling
- Data Engineering: Airflow/Prefect, Spark/Ray, data validation and pipelines, vector stores
- Software Engineering: Python expertise, API design, cloud architecture, microservices