Saaki Argus And Averil Consulting
Forward Deployed Software Engineer
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Japan
Work mode:
Onsite
Published on:
26 August 2026
What they need
Job Title: Forward Deployed Engineer (Full Stack / AI) 5 to 14 Years
Location: Tokyo, Japan/Onsite
Experience: 5-14 Years
Employment Type: Full-Time
About the Role
We are looking for a Forward Deployed Engineer to work directly with enterprise customers, building and implementing AI-powered applications. This role blends hands-on engineering with customer-facing delivery ideal for engineers from a Full Stack, Data Science, or Applied AI background who enjoy solving real-world problems with LLMs.
Roles & Responsibilities
- Design, build, and deploy AI/LLM-based applications for enterprise customers
- Work hands-on with RAG (Retrieval-Augmented Generation), transformer architectures, and prompt workflows
- Fine-tune and integrate large language models into production systems
- Build full-stack applications using Python, REST APIs, SQL, backend services, and microservices
- Implement guardrails, reliability checks, and best practices for safe AI deployments
- Collaborate directly with customers to understand requirements and deliver tailored solutions
- Own end-to-end implementation from architecture design to deployment and support
- Work closely with cross-functional teams (Product, Data Science, Engineering) to scale solutions
Requirements
- 5-14 years of experience in Software Engineering/Fullstack/Data Science/Applied AI
- Strong hands-on coding experience (Python mandatory)
- Experience with LLMs, RAG, prompt engineering, or model fine-tuning
- Full-stack development experience: REST APIs, SQL, backend systems, microservices (preferred for Option 2 candidates)
- Experience implementing large-scale enterprise systems
- Strong customer-facing / client engagement skills
- Bilingual - Japanese N1 or N2 level required
- Prior experience as a Technical Lead is a plus
Good to Have
- Background in Data Science with exposure to AI/ML systems
- Experience with AI-assisted development tools
- Understanding of enterprise architecture and system design
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