Forward Deployed Engineer, Agentic Platform

Tkxel LLC; Riyadh; On-site; SAR 250,000 - 350,000; Full time

Job summary

Tkxel is seeking a Forward Deployed Engineer for the Agentic Platform, based in Riyadh, to bridge North product capabilities with customer engineering teams and deliver AI-powered agent workflows in enterprise settings.

The role focuses on building production-grade Python solutions, deploying RAG/agentic applications, and integrating LLMs with tools, APIs, and data sources, while ensuring reliability, observability, and security through enterprise-grade practices.

Qualifications

• Hands-on Python development and production deployment experience.
• Experience building RAG and agentic applications.
• Ability to interact with customers and translate needs into technical specs.
• Experience leading engineering work in fast-paced environments.
• Familiarity with enterprise security, compliance, or auditability requirements for AI systems.

Responsibilities

• Design, build, and deliver LLM-powered agents that reason, plan, and act across tools and APIs.
• Own end-to-end use cases from scoping to production delivery.
• Collaborate with customers to convert business problems into concrete agent workflows.
• Contribute to shared frameworks to enable consistent, high-quality delivery across teams.
• Travel up to 20-40% to work on-site with customers and partners.

Skills

Python

LLM stack

Customer-facing

Engineering leadership

RAG/agentic apps

Job description

Forward Deployed Engineer, Agentic Platform

Riyadh, Saudi Arabia | Posted on 09/04/2026

Tkxel is a leading softwaredevelopment company located in Reston, Virginia. We are committedto develop innovative software solutions for leading enterprisesin the world, helping them grow their businesses using latesttechnology solutions.

Job Description

This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients' engineering teams, you'll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications.

We're looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You'll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.

Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies

Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance

Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualization through production

Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution

Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams

Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization

Travel up to 20-40% to work on-site with customers and partners

Requirements

You have hands‑on experience building and deploying production‑grade software in Python; you write clean, testable, observable, scalable code

You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi‑step tasks using patterns like ReAct or Plan-and-Execute

You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks

You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency

You're experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs

You have experience owning the full scope of a use case end-to-end

You thrive in fast‑paced and ambiguous environments and can execute well even when priorities are shifting

It's a bonus if you have:

Experience setting architectural standards for AI and agentic systems across distributed teams

Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it

Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms)

Experience with enterprise security, compliance, or auditability requirements for AI systems