Note: The job is a remote job and is open to candidates in USA. Morgan Pinnacle Group is a fast-growing AI infrastructure company that helps organizations build, fine-tune, and scale production AI applications using open-source models. They are seeking an AI Field Engineer to work closely with enterprise customers, leading technical discovery and guiding them through the deployment of production systems.
Responsibilities
- Lead technical discovery calls, scope proof-of-concepts, and run load tests and evaluations to validate the right model architecture and deployment configuration for enterprise customers
- Build end-to-end POCs and production integrations directly inside customer environments while navigating infrastructure, security requirements, and organizational constraints
- Guide customers on model selection, fine-tuning strategies (SFT, DPO, RFT), and evaluation frameworks to move from experimentation to production at scale
- Manage relationships across multiple enterprise stakeholders, identifying technical champions and helping align teams to move projects forward efficiently
- Provide recurring customer feedback and deployment insights to the engineering organization to help shape future product development
Skills
- Deep hands-on experience with LLM inference and/or training
- Working knowledge of open-model frameworks such as: vLLM, SGLang, TensorRT-LLM
- Experience with fine-tuning workflows: SFT required, DPO and/or RFT strongly preferred
- Candidates whose experience is limited to closed-model API integrations alone will not be a fit
- Proven ability to build and deploy production code within customer environments, including POCs or MVPs running in production
- Strong Python programming skills
- Experience with GPU infrastructure
- Experience using AWS, Azure, or GCP
- Experience with Kubernetes
- Strong communication skills with the ability to engage both technical and executive audiences
- Customer-facing engineering experience in roles such as: Field Engineer, Applied AI Engineer, Solutions Architect, AI Infrastructure Engineer, ML Engineer, Software Engineer with pre-sales exposure
- 3+ years of relevant experience
- Experience with DPO or reinforcement fine-tuning (RFT)
- Experience deploying enterprise-scale GenAI applications
- Experience working directly with production AI infrastructure
- Interest in contributing to product direction based on customer feedback
- Comfortable working in fast-paced, high-growth environments with significant ownership
Benefits
- Meaningful equity package
- Visa sponsorship is available
- Quarterly variable compensation based on individual and team performance
- Employees located near company hubs may follow a hybrid schedule.
Company Overview