Senior AI Product Engineer / AI Workflow Architect
Avomind View all jobs
- India
- Permanent
- Full-time
- Design and implement end-to-end AI workflows integrated into real business processes
- Build and maintain Python-based AI systems (LLMs, embeddings, retrieval, orchestration)
- Work with large, heterogeneous datasets (ERP data, emails, documents, APIs, files)
- Design and manage vectorization pipelines and retrieval strategies
- Trace, monitor, and debug LLM calls, prompts, outputs, and failures
- Define and enforce quality, reliability, and evaluation standards for AI outputs
- Collaborate closely with product, business, and tech stakeholders
- Decide when AI is the right tool -- and when it is not
- Document architectures, trade-offs, and decisions clearly and pragmatically
- Strong hands-on experience with Python in production environments
- Experience building systems with LLMs (OpenAI, Azure OpenAI, open-source models, etc.)
- Solid understanding of embeddings, vector databases, and retrieval patterns
- Experience with prompting, evaluation, tracing, and output quality control
- Ability to design AI systems that are robust, explainable, and maintainable
- Comfort working with ERP data and Microsoft systems
- Product mindset: you care about outcomes, not just models
- High sense of ownership and responsibility for system behavior
- Clear and structured communication; able to explain technical trade-offs to non-technical stakeholders
- Persistence, curiosity, and motivation to learn
- Experience integrating AI into real business workflows is a strong plus
- A high-impact AI role with real-world responsibility
- Direct ownership of AI systems used across the organization
- The chance to shape long-term AI architecture and strategy
- Purpose-driven work supporting healthcare supply chains globally
- Flat hierarchies, fast decisions, and direct access to stakeholders
- A highly international, values-driven team in an English-speaking work environment in one of the best cities in the world to live in
- Support for relocating to Vienna, Austria (work visa, language courses, integration support)
- High degree of autonomy and technical ownership
- Budget for tools, infrastructure, and AI experimentation
- Time explicitly reserved for system quality, evaluation, and refactoring
- Purpose-driven work with visible real-world impact