Agentic Ai Engineer

London, ENG, GB, United Kingdom

Job Description

We are seeking an

Agentic AI Engineer

to join our growing AI & Data Science team. This role focuses on building, deploying, and scaling agentic AI systems--autonomous, goal-driven AI agents that augment decision-making, automate complex workflows, and deliver actionable insights across Exiger's risk and compliance platforms. You will work closely with data scientists, software engineers, and product leaders to push the boundaries of applied AI in high-stakes environments.




Key Responsibilities




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.



Professional Experience Required:




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

and 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.



We're an amazing place to work. Why?




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




#LI-Hybrid



Exiger is revolutionizing the way corporations, government agencies and banks manage risk and compliance with a combination of technology-enabled and SaaS solutions. In recognition of the growing volume and complexity of data and regulation, Exiger is committed to creating a more sustainable risk and compliance environment through its holistic and innovative approach to problem solving. Exiger's mission to make the world a safer place to do business drives its award-winning AI technology platform, DDIQ, built to anticipate the market's most pressing needs related to evolving ESG, cyber, financial crime, third-party and supply chain risk. Exiger has won 30+ AI, RegTech and Supply Chain partner awards.



Exiger's core values are courage, excellence, expertise, innovation, integrity, teamwork and trust.



All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.


Exiger's hybrid work policy is periodically reviewed and adjusted to align with evolving business needs.

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Job Detail

  • Job Id
    JD3648453
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    London, ENG, GB, United Kingdom
  • Education
    Not mentioned