Inception
Member of Technical Staff, Forward Deployed AI Engineer
San Mateo, USA · Staff+
Sponsorship not specifiedDetected 60 days ago
TypeScriptPythonFull-Stack DevelopmentData StructuresAlgorithmsMachine LearningData EngineeringLLMsRAGMLOpsCustomer SuccessResearchCommunication
About the role
- This role sits at the intersection of product engineering, customer implementation, evals, data collection, model optimization, and enterprise deployment ownership.
- This is not a traditional solutions engineering role, a pure research role, or a long-cycle consulting implementation role.
- You will work closely with platform, serving, post-training, product engineering, and GTM teams to translate customer deployment learnings into model, product, and infrastructure improvements.
Responsibilities
- You'll need strong command of CS fundamentals, including data structures and algorithms, to design and build reliable, scalable systems.
- Rapid prototyping: Build and run fast proof-of-concepts, iterating on customer requirements and technical constraints on 2-week cycles.
- Production AI applications: Build full-stack AI applications, agentic workflows, integrations, internal tools, and customer-facing systems that bring Inception models into real enterprise environments.
- Measurement and Evaluation: Define success metrics for customer deployments and design LLM-as-judge workflows, evaluation harnesses, and feedback loops for customer-specific use cases.
- Agentic workflows: Build and optimize agentic workflows including subagents involving classification, routing, context compaction, search, coding agents, voice, and other latency-sensitive applications.
- Build, prove, and generalize: Turn customer-specific deployments into repeatable product patterns, eval frameworks, implementation playbooks, and platform capabilities that improve Inception's core product.
Requirements
- Experience with data engineering, synthetic data generation, or feedback loops for model improvement.
Nice to have
- Turn customer-specific deployments into repeatable product patterns, eval frameworks, implementation playbooks, and platform capabilities that improve Inception's core product.
- Strong engineering skills in Python and modern full-stack development, including APIs, backend systems, and ideally TypeScript/JavaScript.
- Familiarity with LLM evaluation, LLM-as-judge workflows, data pipelines, model tuning, prompt optimization, or agentic workflows.
- Customer-facing experience with enterprise, strategic, or high-value accounts.
- Experience deploying software or AI systems in enterprise environments with security, privacy, reliability, compliance, or integration constraints.
- Strong communication and discovery skills, with the ability to translate ambiguous customer needs into concrete technical solutions.
- Ability to operate across engineering, product, sales, and customer success without requiring heavy process or handholding.
- Preferred Skills Experience with RAG, search, voice AI, coding agents, or agentic workflow systems.
Benefits
- Qualifications BS/MS/PhD in Computer Science, Machine Learning, or a related field (or equivalent experience).
Company info
- Work directly with strategic enterprise customers to identify high-value AI workflows and turn them into production deployments.
- Enterprise customer deployments: Work directly with strategic enterprise customers to identify high-value AI workflows and turn them into production deployments.
- Experience building, deploying, or integrating AI/LLM products with real users or customers.
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This listing is sourced directly from Inception's careers page and normalized into a canonical job model.