Forward Deployed Software Engineer

Vibehackers; Abu Dhabi; On-site; AED 300,000 - 520,000; Full time

Job summary

Vibehackers is hiring a Forward Deployed Software Engineer in Abu Dhabi to build production-grade GenAI systems. You will deploy LLM-based services, implement RAG pipelines, and develop FastAPI microservices with tool calling and API integrations onsite in Abu Dhabi.

The role emphasizes MCP, LangChain/LangGraph, Python, and cloud/container deployments, with a focus on delivering scalable agentic AI solutions.

Qualifications

• Experience designing production-grade GenAI systems.
• Hands-on MCP, RAG, and agentic AI work with LLMs.
• Proficient in FastAPI, Python, and API integrations.

Responsibilities

• Develop and deploy LLM-based services and agentic AI systems.
• Implement RAG pipelines and vector/search integrations.
• Build APIs/microservices and enable tool calling via REST/OpenAPI.

Skills

RAG expertise

GenAI/LLMs

Agentic AI

LangChain/LangGraph

REST/OpenAPI/Webhooks

CI/CD/Testing/Logging

Cloud deployment

API integrations

Tools

FastAPI

Python

Vector databases

Enterprise search

Job description

Explicitly centered on agentic AI and rapid LLM integrations (LangChain/LangGraph, RAG, MCP); heavy hands-on AI tooling and production deployments.

About the Role

Forward Deployed Software Engineer focusing on agentic AI and production-grade GenAI systems. The role centers on building and deploying LLM-based, retrieval-augmented solutions (MCP, LangChain/LangGraph, FastAPI, vector search) onsite in Abu Dhabi.

Job Description

Role

Forward Deployed Software Engineer (Agentic AI) responsible for designing, building, and deploying production-grade GenAI/LLM solutions with a focus on agentic AI, retrieval-augmented generation (RAG), and Model Context Protocol (MCP).

Key Responsibilities

• Develop and deploy LLM-based services and agentic AI systems.
• Implement RAG pipelines and integrations with vector databases/enterprise search.
• Build APIs and microservices (FastAPI) and integrate tool calling and external APIs via REST/OpenAPI/webhooks.
• Ensure production readiness: CI/CD, testing, logging, error handling, and containerized cloud deployments.

Mandatory Technical Skills

• Retrieval-Augmented Generation (RAG)
• LLMs / Generative AI and applied GenAI experience
• LangChain and LangGraph
• FastAPI and Python
• Agentic AI / AI Agents, tool calling and API integrations
• REST / OpenAPI / Webhooks
• CI/CD, Git, testing, logging, and error handling
• Cloud deployment and containerized application experience

Ideal Candidate

Candidates should combine strong software engineering experience with applied GenAI/LLM expertise, including hands-on MCP and agentic AI work. Expected background includes significant production-grade software development and multi-year experience working with GenAI, LLMs, and RAG.

Location & Work Mode

• Employment type: Full-time

Candidate Details

• total experience
• relevant GenAI/LLM experience
• agentic AI experience
• MCP experience
• current location
• passport status
• notice period/last working day
• current CTC
• expected CTC
• willingness to relocate to Abu Dhabi

MCP RAG LLMs LangChain LangGraph FastAPI Python Agentic AI Tool calling Vector databases REST OpenAPI Webhooks CI/CD Git

Skills

Software Engineering GenAI/LLMs Agentic AI Retrieval-Augmented Generation (RAG) Model Context Protocol (MCP) API integration REST/OpenAPI CI/CD Testing Logging and error handling Cloud deployment Containerization Vector search / Enterprise Search Git Production-grade system development