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Forward Deployed Engineer

Ansen Technology
Abu Dhabi, UAE
Full-time
Mid-Senior
Onsite
Discovered 3 weeks ago
software engineeringAI/LLM engineeringproduction software deliveryPython, TypeScript, JavaScript, Go, or JavaAPIsdatabases
Free

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software engineeringAI/LLM engineeringproduction software delivery
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About Ansen

Ansen is a globally expanding cybersecurity company driven by AI innovation.

The company delivers advanced security technologies and professional services to government organizations and enterprises across international markets.

Role Overview

The Forward Deployed Engineer works with customers, internal stakeholders, and product teams to design, build, deploy, and scale AI-enabled systems in real operational environments.

The role combines software engineering, AI product development, solution architecture, and customer delivery.

The team hires complementary strengths across software engineering, AI/LLM engineering, data systems, cloud infrastructure, enterprise integrations, security, and production deployment.

Key Responsibilities

  • Understand customer workflows, data sources, pain points, and success criteria with users and technical stakeholders.
  • Translate ambiguous operational requirements into technical designs and deployable solutions.
  • Build production-grade applications, APIs, integrations, data workflows, and AI-powered features.
  • Develop LLM, RAG, agentic, extraction, classification, and decision-support workflows.
  • Deploy, operate, debug, and scale solutions across application, data, model, infrastructure, and integration layers.
  • Turn customer feedback into reusable implementation patterns, product requirements, and playbooks.

Required Qualifications

  • Strong software engineering experience in at least one major area, such as backend, full-stack, data engineering, AI engineering, cloud infrastructure, or enterprise integrations.
  • Experience building and shipping working software in real operational environments.
  • Proficiency in one or more modern programming languages, such as Python, TypeScript, JavaScript, Go, or Java.
  • Practical experience with APIs, databases, authentication, deployment workflows, and production debugging.
  • Strong problem-solving ability, sound technical judgment, and excellent communication skills.

Relevant Team Capabilities

  • Valued capabilities include full-stack applications, backend services, APIs, event-driven systems, databases, and enterprise integrations.
  • Valued AI and LLM capabilities include RAG, AI agents, tool calling, evaluations, prompt regression testing, model monitoring, fine-tuning, inference optimization, and AI red teaming.
  • Valued infrastructure and security capabilities include AWS, Azure, GCP, private cloud, Docker, Kubernetes, Terraform, CI/CD, observability, IAM, audit logging, secrets management, and secure deployment patterns.
  • Valued data and integration capabilities include ETL/ELT, streaming, document ingestion, data quality, schema design, and CRM, ERP, ticketing, SIEM/SOAR, email, document repository, and database integrations.

Relevant Backgrounds

Relevant backgrounds may include Full-Stack Engineer, Backend Engineer, AI/LLM Engineer, Data Engineer, DevOps or Platform Engineer, Solutions Architect, Technical Consultant, Cybersecurity Engineer, or Enterprise Software Implementation Engineer.

Success in the First 3–6 Months

Deliver working pilots or production features in real customer environments.

Convert ambiguous requirements into usable technical solutions and repeatable implementation patterns.

Improve adoption through close user engagement, clear communication, and practical engineering.

Identify product gaps and provide actionable feedback to the core product roadmap.

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