Description: As a Channel Partner Engineer at LlamaX, you will be responsible for executing channel partner integrations and enablement projects, gathering and analyzing partner requirements, and providing technical support for our AI model deployments. You will work closely with our channel partners to ensure successful implementation and optimization of LlamaX solutions across various partner infrastructures.
Partner Engineering, Llama Responsibilities:
- Execute channel partner integrations and enablement projects, ensuring timely and high-quality deliverables
- Gather and analyze partner requirements, translating them into technical specifications and implementation plans
- Develop and maintain technical documentation for partner deployments, including integration guides and best practices
- Troubleshoot and resolve partner-specific issues, providing timely and effective support
- Collaborate with cross-functional teams to implement partner solutions and drive continuous improvement
- Assist in the optimization of LlamaX model deployments within partner infrastructures
- Contribute to the development of scalable solutions for partner enablement
- Participate in partner-facing technical discussions and presentations
- Support the creation and maintenance of business function-specific evaluations and benchmarks
- Collect and document technical feedback from partners and their customers
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- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Bachelor's degree in Computer Science, Engineering, or a related field
- 7+ years of experience in software engineering, partner engineering, or related technical roles
- Demonstrated experience in understanding of AI/ML technologies, cloud infrastructures, and enterprise software deployments
- Experience with partner integrations and technical requirement gathering
- Proven experience in problem-solving skills and experience to troubleshoot complex technical issues
- Proven communication skills, with the experience to explain technical concepts to both technical and non-technical audiences
- Proficiency in at least one programming language (e.g., Python, Java, C++)
- Experience working with government and enterprise clients in AI/ML deployments
- Experience working with LLaMA or other large language models
- Experience with cloud-based AI platforms such as AWS SageMaker or Google Cloud AI Platform
- Familiarity with multiple cloud platforms (AWS, Azure, GCP) and containerization technologies
- Knowledge of data privacy and security best practices in AI/ML deployments
- Experience with performance tuning and optimization of AI models
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$173,000/year to $247,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.