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AI Software Engineer

Online/Außer Haus - Idealerweise für Kandidaten in
60306, Frankfurt am Main, Hessen, Deutschland
Unternehmen: Agility PR Solutions
Fernarbeit/Heimarbeit position
Verfasst am 2026-10-06
Berufliche Spezialisierung:
  • Software Entwicklung
    Künstliche Intelligenz Ingenieur, Backend Entwicklung, Maschinelles Lernen
Gehalts-/Lohnspanne oder Branchenbenchmark: 85000 USD pro Jahr USD 85000.00 YEAR
Stellenbeschreibung

About the role:

As an AI Engineer (Agentic Systems & LLM Applications), you will design, build, and scale production-grade agentic workflows and AI-driven applications. You will play a key role in shaping how intelligent agents operate across our platform—driving automation, insight generation, and decision intelligence for PR professionals.

This role goes beyond implementation. You will contribute to system design, architecture decisions, and AI strategy, helping define how agents orchestrate complex workflows across data sources, APIs, and user interactions.

You’ll work across both:

  • AI application layers (Type Script, agent frameworks, orchestration)
  • Backend systems (Java, distributed data platforms such as Hadoop and Solr)

Agility PR Solutions is building next-generation media intelligence capabilities powered by AI. Your work will directly influence how customers extract insights, automate workflows, and make decisions from large-scale media data.

What You’ll do:
  • Design and implement end-to-end agentic workflows for real-world use cases
  • Build and deploy AI-driven agents capable of reasoning, tool use, and multi-step orchestration
  • Develop application logic using Type Script and modern AI frameworks
  • Leverage frameworks such as Lang Chain and Lang Graph (or similar) to build robust agent systems
  • Integrate with LLMs, and external APIs
  • Design and implement RESTful services (Java) to support AI-driven capabilities
  • Define and enforce best practices for:
    Prompt design and evaluation
  • Agent reliability and guardrails
  • Observability and debugging of AI systems
  • Collaborate with product and design to translate ambiguous requirements into scalable solutions
  • Optimize performance, cost, and reliability of AI workloads
  • Contribute to architectural decisions and technical direction
  • Mentor junior developers and contribute to team knowledge sharing
What You'll bring:

You should have practical experience with:

  • Agent frameworks (e.g., Lang Chain, Lang Graph, or equivalent)
  • Prompt engineering and evaluation techniques
  • Designing multi-step workflows or orchestration systems

Experience With

  • SQL and data modeling
  • Linux environments
  • Git, and modern development workflows
  • Maven
  • Familiarity with distributed systems or big data platforms (Hadoop, Solr, Spark, etc.) is an asset
Strongly preferred:
  • Experience building agentic or workflow-based AI systems
  • Understanding of system design and scalability tradeoffs
  • Ability to work independently and take ownership of projects
  • Strong problem-solving and system design thinking
  • Effective communication across technical and non-technical stakeholders
  • Passion for AI, automation, and emerging technologies
Why you'll love it here:
  • Fully remote work environment
  • Collaborative culture – and key tools enabling it
  • Competitive compensation package
  • Health, Dental & Vision benefits
  • RRSP matching
  • Life Insurance
  • Employee Assistance Program (EAP)
  • Career Development & Progression opportunities
  • Paid Vacation, Personal Days and Sick days
  • Flex Fridays in Summer, Week off between Christmas and New Years'
  • No Internal Meetings Fridays

Compensation for this role is expected to fall within the range of $85, annually.

The final offer will reflect each candidate’s experience, skills, and internal equity.

This is for a vacant position.

AI Usage

We use technology to make hiring smarter, faster, and more personal, never less human. Artificial intelligence (AI) tools help us manage applications efficiently and highlight qualifications that align with each role, allowing our recruiters to focus more on meaningful conversations with candidates.

AI does not make hiring decisions ry decision is made by people, our hiring managers and recruitment professionals, who are trained to apply sound judgment and equitable practices at every stage.

We believe technology exists to amplify human insight, not replace it. That belief shapes how we build relationships, tell stories, and grow our teams.

At Agility, we strive every day to build a more inclusive work environment and introduce tools that enable it. We strongly encourage applications from all people regardless of race, religion, gender, age, disability status or sexual orientation.

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