Reflection AI

1 month ago

Forward Deployed Engineer - AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Drive enterprise AI deployments by translating advanced research into production-ready, agentic systems. You’ll own technical strategy and delivery from customer discovery to production launch, partner with sales, and deploy scalable, hybrid deployments while shaping playbooks for a growing Forward Deployed Engineering team.

Location: Seoul

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Partner with Deployment Strategists and Sales to understand enterprise customer needs, architect solutions, and develop transformative agentic applications.
•Build agentic systems using state-of-the-art models, orchestrating LLM workflows, integrating with enterprise infrastructure, and deploying reliable production systems.
•Collaborate with research teams to adapt and fine-tune models for customer-specific needs.
•Support end-to-end deployments across hybrid environments (public cloud, VPC, and on-premises), helping ensure scalability, performance, and reliability in production.
•Contribute to evolving playbooks, processes, and best practices as part of a growing Forward Deployed Engineering organization.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionLife InsuranceRelocationEquity

Key Requirements

•Strong software engineering background with production-grade systems experience (Python, Typescript).
•Experience deploying enterprise software in cloud or hybrid environments using Docker, Kubernetes, and CI/CD.
•Hands-on ML experience with modern AI stacks (vector databases, RAG pipelines, agent orchestration, evaluations, fine-tuning).
•3+ years of software engineering experience delivering AI-driven enterprise solutions.
•Customer-facing mindset with the ability to architect solutions that deliver tangible business outcomes.

Experience:3+ yearsAIEnterprise software

Skills:PythonTypescriptDockerKubernetesCI/CDVector databasesRAG pipelinesAgent orchestrationProduction systems

Tech Stack:PythonTypescriptDockerKubernetesCI/CDLLMVector databasesRAG pipelines

Company Brief

Reflection AI

Builds frontier autonomous AI systems focused on autonomous coding agents (product: Asimov) to create organizational superintelligence, founded by former DeepMind/Google researchers and hiring across SF, NYC, London.

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: San Francisco, United States

Founded: 2024

Website LinkedIn Glassdoor

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Reflection AI

1 month ago

Forward Deployed Engineer - AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Seoul

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Partner with Deployment Strategists and Sales to understand enterprise customer needs, architect solutions, and develop transformative agentic applications.
•Build agentic systems using state-of-the-art models, orchestrating LLM workflows, integrating with enterprise infrastructure, and deploying reliable production systems.
•Collaborate with research teams to adapt and fine-tune models for customer-specific needs.
•Support end-to-end deployments across hybrid environments (public cloud, VPC, and on-premises), helping ensure scalability, performance, and reliability in production.
•Contribute to evolving playbooks, processes, and best practices as part of a growing Forward Deployed Engineering organization.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionLife InsuranceRelocationEquity

Key Requirements

•Strong software engineering background with production-grade systems experience (Python, Typescript).
•Experience deploying enterprise software in cloud or hybrid environments using Docker, Kubernetes, and CI/CD.
•Hands-on ML experience with modern AI stacks (vector databases, RAG pipelines, agent orchestration, evaluations, fine-tuning).
•3+ years of software engineering experience delivering AI-driven enterprise solutions.
•Customer-facing mindset with the ability to architect solutions that deliver tangible business outcomes.

Experience:3+ yearsAIEnterprise software

Skills:PythonTypescriptDockerKubernetesCI/CDVector databasesRAG pipelinesAgent orchestrationProduction systems

Tech Stack:PythonTypescriptDockerKubernetesCI/CDLLMVector databasesRAG pipelines

Company Brief

Reflection AI

Industry: AI & Machine Learning

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: San Francisco, United States

Founded: 2024

Website LinkedIn Glassdoor