Overview: Responsibilities :

- Engage directly with customers to understand business challenges, technical requirements, and operational constraints
- Translate customer requirements into solution designs, technical workflows, and implementation plans
- Design and implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, embedding strategies, retrieval optimization, and response orchestration
- Build and manage agent-based architectures , including task orchestration, tool integration, and execution flows
- Design and maintain evaluation frameworks to measure model quality, retrieval effectiveness, and output reliability
- Implement and manage MLOps/LLMOps pipelines covering deployment, monitoring, versioning, rollback, and lifecycle management
- Collaborate with data engineers, architects, and technical leads to integrate AI workflows into enterprise systems
- Identify technical risks and implementation bottlenecks, proposing mitigation strategies proactively
- Balance rapid prototyping with production-readiness, ensuring quality, scalability, and maintainability
- Support optimization of delivery workflows by leveraging AI tools to improve engineering productivity and operational efficiency

Requirements : Experience :

- Minimum 8 years of experience in software engineering, technical implementation, or related technical delivery roles

- Proven experience driving projects with direct client engagement and stakeholder management :

- Experience working in fast-paced, ambiguous delivery environments with strong ownership and execution capability





Application Engineering :

- Strong hands-on development experience using Python and/or JavaScript :

- Strong understanding of software engineering fundamentals including modular design, testing, and maintainability

- Experience integrating frontend and backend components for end-to-end solution delivery

Applied AI Engineering :

- Practical experience designing and implementing Retrieval-Augmented Generation (RAG) workflows
- Experience in agent design , orchestration logic, and tool-based execution patterns
- Experience building evaluation frameworks for model validation, retrieval quality, and output consistency
- Understanding of prompt engineering, model behavior optimization, and AI system reliability

Cloud & Platform Engineering :

- Experience building and deploying systems in cloud environments ( AWS, GCP, Azure )
- Experience with containerized deployment and cloud-native architecture patterns
- Understanding of deployment automation, CI/CD pipelines, and infrastructure provisioning

MLOps / LLMOps :

- Experience designing and operating MLOps and/or LLMOps pipelines :

- Understanding of model lifecycle management including deployment, versioning,



monitoring, and rollback

- Experience implementing observability for AI systems, including performance and quality monitoring

Customer Delivery & Stakeholder Engagement :

- Strong ability to engage with customers to clarify requirements, align expectations, and drive delivery decisions
- Ability to explain complex technical concepts to business and non-technical stakeholders
- Experience balancing customer priorities with technical feasibility and delivery constraints

Soft Skills :

- Strong problem-solving orientation with a customer-first mindset

- Ability to balance hands-on coding with customer-facing engagement :

- Strong decision-making capability under ambiguity

- Ability to maintain delivery speed without compromising quality

- Strong ownership and accountability for delivery outcomes

- Ability to remain composed and effective in high-pressure delivery environments

Nice to Have :

- Business-level or higher Japanese language proficiency :

- Experience implementing large-scale enterprise systems :

- Experience in data security, governance, and access control design :

- Experience working in startup or new business environments :

- Experience collaborating with global or distributed teams :

- Solid English communication skills

- Experience with observability tools and operational monitoring for AI systems

Language Requirements :

- English : Business proficiency required
- Japanese : Business-level proficiency preferred

📌 Forward Deployed Engineer (Fde) (Guindy)
🏢 Prodapt
📍 Guindy