Forward Deployed AI Engineer

Vibehackers; Hinoba-an; On-site; PHP 1,800,000 - 2,400,000; Full time

Job summary

Vibehackers is seeking a Forward Deployed AI Engineer to transform ambiguous business problems into production AI products. You will partner with business, product, and tech teams to identify opportunities, prototype solutions, and deliver end-to-end AI systems using LLMs, agents, RAG, APIs, and traditional backend services.

You will own projects from discovery through deployment, collaborating with engineering teams to scale successful solutions and explore new AI capabilities across workflows

Qualifications

• Strong engineering fundamentals with ownership.
• Backend frameworks such as FastAPI, Flask, or Django.
• Databases, APIs, authentication, distributed systems, and cloud infra.
• SQL and NoSQL databases proficiency.
• Ability to debug and learn unfamiliar systems independently.
• Hands-on AI experience with LLM APIs and agent workflows.

Responsibilities

• Identify high-impact AI problems with business teams.
• Turn ambiguous requirements into technical and product solutions.
• Rapidly build and test AI prototypes with real users.
• Develop production apps using LLMs, agents, RAG, and backend services.
• Build backend services, APIs, data pipelines, and system integrations.
• Experiment with models, prompts, and architectures; evaluate performance.
• Create lightweight tools or interfaces for end-to-end delivery.
• Integrate AI systems with enterprise data and workflows.
• Own projects from discovery to pilot and production.
• Collaborate with engineering teams to scale successful solutions.

Skills

Product Thinking

AI Engineering

Software Development

Problem Solving

Prototyping

Experimentation

Debugging

API Development

System Integration

Database Design

Stakeholder Communication

Ownership

Distributed Systems

Tools

FastAPI

Flask

Django

SQL

NoSQL

AWS

React

APIs

CI/CD

Job description

Directly building with LLMs, RAG, agents and rapid AI prototypes; hands-on vibe coding and production AI tooling.

About the Role

Turn ambiguous business problems into working AI products by working directly with business, product, and engineering teams to define opportunities, prototype solutions, and deliver production systems using LLMs, agents, RAG, and traditional backend services. Own projects end-to-end from discovery through deployment and scale successful solutions across the business.

Job Description

Role

You will act as a Forward Deployed AI Engineer who converts ambiguous business problems into production AI products. The role spans product thinking, AI engineering, and software development, working directly with business, product, and tech teams to identify opportunities, prototype solutions, and deliver production systems.

Key Responsibilities

• Collaborate with business teams to identify high-impact problems addressable with AI.
• Convert ambiguous requirements into clear technical and product solutions.
• Rapidly build and test AI prototypes with real users.
• Develop production applications leveraging LLMs, agents, RAG, APIs, and traditional systems.
• Build backend services, APIs, data pipelines, and system integrations.
• Experiment with models, prompts, and architectures and evaluate performance.
• Create lightweight tools or interfaces when needed for end-to-end delivery.
• Integrate AI systems with enterprise data and workflows.
• Own projects from discovery to prototype, pilot, and production.
• Partner with engineering teams to scale successful solutions and continuously explore new AI capabilities.

Requirements

Core engineering

• Strong engineering fundamentals and high ownership.
• Experience with backend frameworks such as FastAPI, Flask, or Django.
• Solid understanding of databases, APIs, authentication, distributed systems, and cloud infrastructure.
• Comfortable with SQL and NoSQL databases.
• Ability to debug and work through unfamiliar systems independently.

Applied AI experience

• Hands-on experience with LLM APIs (OpenAI, Anthropic, Gemini).
• Prompt engineering and producing structured outputs.
• Tool/function calling and AI agents or agentic workflows.
• Retrieval-augmented generation (RAG) and vector search.
• Model evaluation and observability; know when to use LLMs and when not to.

Product and interpersonal

• Ability to structure loosely defined problems and prioritize simple, fast solutions.
• Strong product intuition and comfort working directly with stakeholders and users.
• Ability to challenge requirements, identify root problems, and drive solutions to production.

Nice to have

• Experience building AI agents or agentic workflows.
• AWS or similar cloud experience.
• React or frontend experience.
• Workflow/orchestration tools experience.
• Familiarity with internal enterprise tools and regulated industries (e.g., fintech).
• Track record of taking AI prototypes to production.

Skills

Product Thinking AI Engineering Software Development Problem Solving Prototyping Experimentation Debugging API Development System Integration Database Design Model Evaluation Stakeholder Communication Ownership Distributed Systems