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AI Engineer
2 weeks ago
We are seeking a skilled Ai engineer with expertise in agentic AI workflows and LLM-powered applications. The ideal candidate will design, build, and optimise AI-driven solutions for the healthcare and life sciences domain, ensuring accuracy, scalability, and compliance.
The successful candidate will have hands-on experience with frameworks such as LangChain, LlamaIndex, and AutoGen, and proficiency in API integration and event-driven architectures. Strong programming skills in Python and/or TypeScript are also essential.
Responsibilities:- Design and implement agentic AI workflows for clinical source verification, discrepancy detection, and intelligent query generation.
- Build and integrate LLM-powered agents using AWS Bedrock and open-source frameworks.
- Develop event-driven data pipelines leveraging AWS Lambda, Step Functions, and EventBridge.
- Apply prompt engineering, retrieval-augmented generation (RAG), and multi-agent communication techniques to enhance workflow performance.
- Integrate AI agents securely with external systems via APIs.
- Collaborate with data engineers to design PHI/PII-safe ingestion pipelines, ensuring regulatory compliance.
- Monitor, test, and fine-tune AI workflows for accuracy, latency, scalability, and compliance.
- Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred).
- 3–6 years of experience in AI/ML engineering with proven hands-on expertise in LLM/agentic AI development.
- Strong problem-solving mindset with the ability to experiment, iterate, and optimise rapidly.
- Agentic AI workflows.
- LLM-powered applications.
- Python programming skills.
- AWS AI/ML services.
We offer a dynamic work environment where you can grow your career and contribute to cutting-edge projects.
Join us to create innovative solutions that transform industries.