Lead the design and implementation of scalable ML/AI systems, with a focus on large language models, vector databases, and retrieval-based architectures
Integrate and apply foundation models from major providers (OpenAI, AWS Bedrock, Anthropic, etc.) for prototyping and production use cases
Adapt, evaluate, and optimize LLMs for domain-specific enterprise applications
Build and maintain infrastructure for experimentation, deployment, and monitoring of AI models in production
Improve model performance and inference workflows with attention to latency, cost, and reliability
Provide technical leadership within the team, mentoring engineers and promoting best practices in ML engineering
Partner with product and cross-functional stakeholders to translate requirements into scalable ML solutions
Contribute to the evolution of internal standards for experimentation, evaluation, and deployment

Requirements

6+ years of experience in Machine Learning or AI systems, with hands-on experience in LLMs, speech, or conversational AI systems
Proficiency on Python and ML frameworks like PyTorch or TensorFlow
Proven experience leading complex, cross-functional AI initiatives
Experience building or integrating speech-to-text and text-to-speech systems
Deep understanding of latency-sensitive system design and distributed architectures
Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow
Strong experience integrating foundational models into production applications
Understanding of RAG pipelines, prompt engineering, and vector search
Experience deploying and scaling AI systems using AWS (required), Docker, Kubernetes, and CI/CD practices
Strong communication skills with the ability to align engineering, product, and executive stakeholders
Comfortable operating in fast-paced environments and driving clarity in ambiguous problem spaces

Benefits

Competitive compensation with stock options
Comprehensive medical, vision, and dental insurance
401k matching
Fitness and wellness stipend
Mental well-being benefits
Professional learning and development stipend
Parental leave, including adoptive and foster parents
3 weeks paid time off (increases with tenure) along with sick leave, bereavement and jury duty

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Machine LearningArtificial IntelligenceLarge Language ModelsPythonPyTorchTensorFlowSpeech-to-TextText-to-SpeechRAG pipelinesPrompt engineering

Soft Skills

Technical leadershipMentoringCommunicationCollaborationProblem-solvingAdaptabilityStakeholder alignmentBest practices promotionCross-functional teamworkClarity in ambiguity