At a Glance
- Tasks: Build and develop cutting-edge AI systems for real financial data.
- Company: Join a forward-thinking tech company in Burgess Hill, UK.
- Benefits: Enjoy competitive salary, mentorship, and opportunities for growth.
- Other info: Work onsite three days a week with excellent career advancement.
- Why this job: Make an impact in AI while working with experienced professionals.
- Qualifications: Strong software engineering skills, especially in Python or Java.
The predicted salary is between 63000 - 77000 £ per year.
AI Engineer– Agentic AI
Location
Burgess Hill, UK
Employment Type
Full-time
About the Role
As an AI Engineer– Agentic AI, you will be a hands-on builder contributing to the development of production agentic AI systems that operate on real financial data and serve real customers.
You will work alongside experienced engineers, product managers, and designers to design, build, and ship AI-powered features, while learning how to operate within a regulated, customer-facing environment.
This role offers strong mentorship and opportunities to grow your technical depth in LLMs, agentic systems, and production AI engineering.
- Core engineering stack
- Languages: Python, Go, Type Script
- Cloud and infrastructure: AWS and/or GCP, Kubernetes
- APIs and services: REST, g RPC
- Distributed systems: event-driven architectures, including Kafka
- Orchestration Frameworks: Lang Graph, Lang Chain, Air Flow, etc
- Agentic AI and ML
- Integration of commercial and open-source LLMs into agentic workflows
- Agent and orchestration frameworks such as Lang Chain, Llama Index, Semantic Kernel, or Crew AI, with strong judgment about when to use frameworks versus building lighter-weight primitives
- Model-level work using Py Torch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to Tensor Flow
- Strong schema, validation, and state management practices using tools such as Pydantic (Python) and Zod (Type Script)
- AI-assisted development
- Use of AI-assisted and agentic development tools for design, implementation, testing, debugging, and refactoring
- Learning how to apply these tools responsibly while maintaining production-quality standards
- All systems are built to meet high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in a financial services environment.
- What You Need to Have to Be Considered
- Strong software engineering experience with
Python (preferred) or Java .
- Hands‑on experience with
Large Language Models (LLMs) , including
- Chat GPT/Open AI
- Google Gemini
- Anthropic Claude
- Experience building and integrating
AI Agents and business workflow automation solutions.
- Development and integration of microservices‑based architectures .
- Strong understanding of event‑driven programming and distributed systems.
- Hands‑on experience with
Apache Kafka and messaging platforms.
- Experience working with
Enterprise Data Hubs and data integration platforms.
- Strong Postgre SQL database design and development skills.
- Experience with
AWS and/or GCP cloud platforms.
• Hands‑on expertise in
- Kubernetes
- Docker/Containers
- CI/CD pipelines
• Knowledge of
- Dev Ops
- Dev Sec Ops
- MLOps
- LLMOps
- Experience with Agentic AI frameworks and the Agentic Development Lifecycle (ADLC).
- Additional Eligibility Requirements
- Candidates must currently reside in the United Kingdom.
- Candidates must be available to start within four weeks of receiving an offer.
- Ability to work onsite in
Burgess Hill, UK, three days per week .
Preferred Domain Experience
Financial Services, Banking, Wealth Management, Fin Tech, Insurance, or other highly regulated industries.
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AI Engineer – Agentic AI in Burgess Hill employer: Cognizant
Cognizant is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration within the UK Public Sector. Employees benefit from comprehensive growth opportunities, including training in cutting-edge AI technologies, while contributing to meaningful projects that impact government services. With a commitment to quality and excellence, Cognizant provides a supportive environment where your contributions are valued and recognised.
