2 months ago

Member of Technical Staff, Forward Deployed AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Join a fast-paced, customer-facing software engineering role focused on turning Mercury diffusion-based models into production AI deployments for enterprise customers. You’ll work across product engineering, data collection, evals, and platform teams to design, prototype, and deliver full-stack AI solutions with measurable customer impact in weeks, not months.

Location: San Mateo

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Enterprise customer deployments: Work directly with strategic enterprise customers to identify high-value AI workflows and turn them into production deployments.
•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.
•Data collection & feedback loops: Collect, structure, and operationalize customer data to improve model and product performance on customer use cases.
•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.

Pay and Benefits

Perks:Health InsuranceVisionEquityPaid LeaveCommuter Benefits

Key Requirements

•Strong engineering skills in Python and modern full-stack development, including APIs, backend systems, and ideally TypeScript/JavaScript.
•Experience building, deploying, or integrating AI/LLM products with real users or customers.
•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.

Experience:AIEnterprise software

Skills:CommunicationCollaborationProblem-solvingCustomer-facingTeamwork

Languages:English

Tech Stack:PythonTypeScriptJavaScriptAPIsLLMDiffusion modelsData pipelines

Company Brief

Inception Labs

Develops artificial intelligence solutions and research-driven products, focusing on machine learning models, AI tools, and enterprise AI integrations to help organizations automate workflows, extract insights from data, and build intelligent applications.

Industry: AI & Machine Learning

Website

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Inception Labs

2 months ago

Member of Technical Staff, Forward Deployed AI Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: San Mateo

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Enterprise customer deployments: Work directly with strategic enterprise customers to identify high-value AI workflows and turn them into production deployments.
•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.
•Data collection & feedback loops: Collect, structure, and operationalize customer data to improve model and product performance on customer use cases.
•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.

Pay and Benefits

Perks:Health InsuranceVisionEquityPaid LeaveCommuter Benefits

Key Requirements

•Strong engineering skills in Python and modern full-stack development, including APIs, backend systems, and ideally TypeScript/JavaScript.
•Experience building, deploying, or integrating AI/LLM products with real users or customers.
•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.

Experience:AIEnterprise software

Skills:CommunicationCollaborationProblem-solvingCustomer-facingTeamwork

Languages:English

Tech Stack:PythonTypeScriptJavaScriptAPIsLLMDiffusion modelsData pipelines

Company Brief

Inception Labs

Industry: AI & Machine Learning

Website