Job Overview
- Contribute to the architecture and implementation of production-grade AI solutions leveraging LLMs, transformer-based models, RAG pipelines, and agentic systems.
- Design, develop, and optimize multi-step AI agents capable of tool/API invocation, reasoning chains, and state management.
- Support the deployment and optimization of AI-powered applications across cloud environments (AWS, Azure, or GCP), ensuring scalability, reliability, and cost-efficiency.
- Contribute to best practices for prompt engineering, evaluation frameworks, and model performance monitoring (latency, grounding, factuality, cost).
- Implement guardrails and Responsible AI practices, including prompt injection mitigation, content moderation, bias reduction, and safety controls.
- Collaborate cross-functionally with Data Scientists, Software Engineers, and Product stakeholders to take AI solutions from prototype to full production.
- Share knowledge and support other engineers in developing high-quality, modular, and maintainable Python code.
- Contribute to experimentation strategies, help define KPIs, and promote data-driven decision-making across AI initiatives.
Ready to Apply?
Take the next step in your career journey
Stand out with a professional resume tailored for this role
