Exiger

Agentic AI Engineer

Exiger

full-time

Posted on:

Location Type: Hybrid

Location: London • 🇬🇧 United Kingdom

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchTensorflow

About the role

  • Design, develop, and deploy agentic AI systems capable of reasoning, planning, and autonomously executing multi-step tasks
  • Integrate large language models (LLMs), vector databases, and external APIs into dynamic agent frameworks
  • Collaborate with product teams to translate compliance, risk, and supply chain use cases into scalable AI-driven workflows
  • Implement memory, retrieval, and tool-use mechanisms for persistent, context-aware agents
  • Optimize performance, latency, and cost trade-offs in large-scale AI applications
  • Contribute to Exiger’s innovation in safe, reliable, and interpretable AI—ensuring outputs align with compliance, regulatory, and ethical standards
  • Stay on the cutting edge of AI research, particularly in agentic architectures, reinforcement learning, and multi-agent systems

Requirements

  • Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field (PhD preferred but not required)
  • Strong programming skills in Python
  • Experience with AI/ML libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex
  • Hands-on experience with LLMs, RAG pipelines, prompt engineering, and fine-tuning
  • Knowledge of multi-agent systems, reinforcement learning, or autonomous planning frameworks
  • Experience with cloud platforms (AWS, Azure, GCP) and containerized deployment (Docker, Kubernetes)
  • Familiarity with compliance, risk management, or supply chain domains is a plus
  • Excellent problem-solving and communication skills, with the ability to work in cross-functional teams
Benefits
  • Discretionary Time Off for all employees, with no maximum limits on time off
  • Industry leading health, vision, and dental benefits
  • Competitive compensation package
  • 16 weeks of fully paid parental leave
  • Flexible, hybrid approach to working from home and in the office where applicable
  • Focus on wellness and employee health through stipends and dedicated wellness programming
  • Purposeful career development programs with reimbursement provided for educational certifications

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonAI/MLPyTorchTensorFlowHugging FaceLangChainLlamaIndexRAG pipelinesprompt engineeringfine-tuning
Soft skills
problem-solvingcommunicationcollaboration
Certifications
Bachelor’s in Computer ScienceMaster’s in Computer SciencePhD in Computer Science