Applied AI Scientist

Responsibilities

• Design, develop, and deploy end-to-end AI/ML systems, including data ingestion, model training, evaluation, and integration into production environments. 

• Build and optimize applications leveraging LLMs and open-source GenAI frameworks such as LangChain, LlamaIndex, Haystack, Transformers, AutoGen, and DSPy. 

• Implement advanced GenAI techniques including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning. 

• Write production-grade software in Python and C# or Java, ensuring maintainability, scalability, and performance. 

• Collaborate with cross-functional teams to translate business requirements into technical solutions. 

• Ship and maintain large-scale AI applications, with a focus on performance monitoring and continuous improvement. 

• Conduct rigorous evaluation of AI models using appropriate metrics and benchmarks. 

• Optimize models for latency, throughput, and accuracy in real-world scenarios. 

• Work closely with data scientists, product managers, and other engineers to drive AI initiatives. 

• Stay current with the latest advancements in GenAI, LLMs, and AI frameworks. 

• Prototype and experiment with emerging technologies to assess feasibility and impact.  

Qualifications

• Bachelor's Degree in Computer Science, Data Science or related technical field  

• Should have total 5+ years in Data Science experience  

• 2+ years technical engineering experience with coding in languages including C#, Python and Pytorch 

• 2+ years of experience in shipping at least 2 large scale ML/AI-based services or applications on cloud platforms (Azure, AWS, GCP, etc.) 

• 3+ years of experience with LLMs and open-source GenAI frameworks, such as LangChain, LlamaIndex, Haystack, or equivalents (e.g., Transformers, AutoGen, DSPy), including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and fine-tuning and evaluation.​ 

• Proficiency in writing production-quality software code in one or more modern programming languages (Python, C#)