Gen AI Developer (Contract)
Posted:
3 September 2026 (2 days ago)
Application Deadline:
1 December 2026
Vacancies:
1 Vacancy
Job Summary
- Design develop and maintain scalable Gen AI applications using LLMs RAG and agent-based architectures.
- Develop and optimize backend APIs and microservices using Python and relevant frameworks.
- Build end-to-end RAG pipelines including document ingestion preprocessing chunking embeddings retrieval and indexing.
- Work with vector databases for efficient semantic search and context retrieval.
- Develop LLM applications using LangChain LangGraph and LangFuse.
- Implement and deploy LLM solutions using Amazon Bedrock and integrate foundation models into enterprise applications.
- Design intelligent AI agents including tool calling workflow orchestration memory and multi-step reasoning patterns.
- Develop effective system prompts and context-engineering strategies to improve accuracy relevance and reliability of Gen AI applications.
- Implement SSO-based authentication and authorization for enterprise Gen AI applications.
- Containerize applications and services using Docker and support scalable deployment across enterprise environments.
- Implement observability and monitoring for APIs LLM applications model performance latency failures and usage.
- Optimize applications for performance scalability reliability security and cost efficiency.
- Collaborate with architects data engineers product teams and business stakeholders to translate requirements into production-ready AI solutions.
- Follow best practices for Gen AI security data privacy prompt management evaluation and responsible AI.
- Troubleshoot production issues and continuously enhance the quality and performance of deployed Gen AI applications.