Enter a job title or keyword
AI Development FDE
Job Location:
Monthly Salary:
Posted:
29 September 2026 (23 hours ago)
Posted:
Application Deadline:
27 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
My Role
- Develop and integrate enterprise AI solutions including GenAI apps RAG pipelines AI agents copilots automation workflows and reusable AI platform components.
- Build GenAI apps RAG components prompt flows data connectors APIs and AI agents.
- Design and develop responsive user interfaces using React TypeScript HTML5 CSS3 and modern UI component libraries (Material UI Tailwind CSS or similar).
- Implement vector indexes embeddings document processing and knowledge grounding using Azure AI services.
- Create PoCs MVPs and reusable accelerators for client demonstrations and delivery mobilization.
- Support testing evaluation groundedness checks performance tuning monitoring and cost optimization.
- Document designs deployment steps and reusable implementation patterns.
- Collaborate with consultants product owners architects UX designers and governance specialists.
Experience and Skills Required
- 5-8 years in software data AI cloud development or automation.
- Hands-on work building GenAI Agentic Harness RAG chatbot AI/ML or enterprise integration solutions.
- Good Python and frontend capability plus APIs SDKs and source control.
- Experience in agile teams and ability to communicate technical trade-offs clearly.
- Python FastAPI or similar backend and frontend frameworks.
- Strong experience in Python and modern frontend development using React or .
- Azure OpenAI Azure AI Foundry Azure AI Search and Azure ML fundamentals.
- RAG pipelines embeddings vector search prompt engineering and evaluation.
- Agent frameworks orchestration tool calling and workflow automation.
- APIs databases message queues files and enterprise connectors.
- Git CI/CD containers configuration and automated testing.
- AI quality: test datasets regression checks hallucination checks groundedness latency and cost.
- Responsible AI implementation: content filters guardrails logging and human review.
About Company
A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.
