You will work hands-on alongside senior AI engineers, product partners, and delivery teams to implement and evolve intelligent features using modern LLM tooling. This role focuses on building reliable AI capabilities that move beyond experimentation into real-world production systems.

You will contribute to RAG pipelines, prompt design, backend integration, and evaluation of workflows while helping scale AI solutions that operate reliably in enterprise environments.

What You'll Do

AI & LLM Application Development
- Contribute to building and optimizing Retrieval Augmented Generation (RAG) pipelines, including document ingestion, chunking strategies, and retrieval workflows
- Support implementation of hallucination mitigation and response validation techniques
- Build embeddings-based semantic search and recommendation capabilities.
- Assist in testing AI features with users and iterate based on feedback and performance data

Evaluation, Monitoring & Reliability
- Support implementation of evaluation frameworks measuring LLM quality and relevance




- Assist with monitoring production AI systems and identifying quality or performance issues
- Analyze evaluation data to improve prompts, retrieval strategies, and outputs
- Participate in debugging and continuous improvement of live AI systems

Platform & Backend Integration
- Work with vector databases to enable semantic search and retrieval
- Integrate AI features into user-facing products alongside product and engineering teams
- Support scalable and secure deployment of AI capabilities aligned with enterprise standards

Delivery & Collaboration
- Collaborate closely with product managers, designers, and engineers in cross-functional teams
- Participate in agile delivery environments with evolving requirements
- Communicate technical concepts clearly with teammates and stakeholders
- Contribute to delivery outcomes across experimentation, iteration, and production deployment

Required Skills & Experience
- 4+ years o

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