Senior AI Engineer: Agentic Platform & LLM Orchestration

Vibehackers; Hinoba-an; On-site; PHP 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Continuous learning

Cross-portfolio opportunities through

Work on cutting-edge AI-driven tech

Job summary

Vibehackers seeks a Senior AI Engineer to design and scale an agentic platform that exposes capabilities as headless MCP-described tools, orchestrating LLM-driven workflows across products. You will drive technical direction, evaluate build-vs-buy decisions, and serve as a reference for Forward Deployed Engineers.

The role requires 6+ years in software engineering with LLM production experience, prompt engineering, and AWS deployment expertise.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field.
• 6+ years of software engineering experience, including 2+ years building production systems with large language models.
• Demonstrated experience setting technical direction and reviewing engineering work.
• Practical experience with prompt engineering, tool/function calling, and agent frameworks (e.g., LangChain, LangGraph).

Responsibilities

• Design headless, MCP-described business logic callable by UIs, AI agents, and automated jobs.
• Build and maintain an LLM orchestration layer to convert model outputs into safe, governed, tool-using actions.
• Implement and extend agent workflows using LangChain/LangGraph and MCP.
• Build and tune RAG pipelines and integrate vector databases for grounding.
• Integrate multiple LLM providers (Claude, OpenAI, Azure OpenAI, AWS Bedrock, Anthropic) via a provider abstraction.
• Develop a Data Agent for governed, read-only access to on-prem/customer data with approval gates and audit trails.
• Support reuse of agent patterns across existing company agents and product pods; partner with Forward Deployed Engineers.
• Deploy agents and inference endpoints on AWS (Lambda, ECS/EKS, SageMaker), integrate with APIs and microservices, and implement evals, cost controls, and observability.
• Collaborate with Data Science, ML Engineering, and MLOps on deployment, monitoring, retraining, and classical ML workloads.

Skills

System Design

Platform Architecture

Orchestration

Prompt Engineering

Agent Frameworks

MLOps

ML Engineering

Deployment & Monitoring

Cost Optimization

Data Governance

API Integration

Technical Leadership

Observability

Production Engineering

Collaboration

Education

Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field

Tools

Docker

Git

CI/CD

Kubernetes

LangChain

LangGraph

AWS SageMaker

Job description

Vibehackers seeks a Senior AI Engineer to design and scale an agentic platform that exposes capabilities as headless MCP-described tools, orchestrating LLM-driven workflows across products. You will drive technical direction, evaluate build-vs-buy decisions, and serve as a reference for Forward Deployed Engineers.

The role requires 6+ years in software engineering with LLM production experience, prompt engineering, and AWS deployment expertise.