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AI Engineer - Financial Services, Crawley, West Sussex
Client:
Location:
Crawley, West Sussex, United Kingdom
Job Category:
Other
-
EU work permit required:
Yes
Job Views:
2
Posted:
06.06.2025
Expiry Date:
21.07.2025
Job Description:
Synechron is looking for a Senior AI Engineer to join their Data and AI Practice to work on a multi-year AI program within a leading financial institution.
The role requires an experienced AI Engineer to design and implement intelligent, autonomous AI systems capable of decision-making and task execution. Your work will involve integrating machine learning models with reasoning, planning, and interaction functionalities to create autonomous agents.
Responsibilities:
* Design and develop intelligent systems leveraging agentic AI concepts
* Integrate machine learning models with reasoning, planning, and interaction modules
* Utilise prompt engineering, vector databases, and RAG (Retrieval-Augmented Generation) architectures
* Develop and deploy solutions using agent libraries such as Lang Chain, Lang Graph, and Autogen
* Apply computer vision and document processing techniques to enhance AI capabilities
* Collaborate with cross-functional teams to implement scalable AI solutions
Requirements:
* Proficiency in Python programming
* Experience with large language models (LLMs) and prompt engineering
* Knowledge of vector databases and RAG architecture
* Hands-on experience with agent libraries such as Lang Chain, Lang Graph, and Autogen
* Skills in computer vision and document processing techniques
* Excellent problem-solving and system design skills
Additional Details:
Multi-year project, flexible start date, competitive rates, London-based (3 days in office), FTE or Contract.
Synechron's Diversity Statement:
Synechron is proud to be an equal opportunity employer. Our DEI initiative 'Same Difference' fosters an inclusive culture promoting equality, diversity, and respect. We encourage applicants from diverse backgrounds and offer flexible work arrangements, mentoring, internal mobility, and learning programs. All employment decisions are based on business needs and individual qualifications, without regard to protected characteristics.
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