drjobs Data Scientist (Applied AI & Prompt Engineering Senior Analyst)

Data Scientist (Applied AI & Prompt Engineering Senior Analyst)

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1 Vacancy
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Job Location drjobs

Columbia - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Were growing our Data Science team to drive innovation in Generative AI. As a Data Scientist Applied AI & Prompt Engineering you will design build and deploy LLM-powered solutions that directly impact our products and users. Youll work hands-on with LLMs transformers retrieval-augmented generation (RAG) and AI agents collaborating with Engineering to bring prototypes all the way to production and take ownership of their ongoing maintenance enhancement and evolution. 

  • Architect and implement production-ready AI solutions involving LLMs transformer-based models retrieval systems agentic workflows and AI agents for generative tasks and automation. 

  • Design and iterate on prompts workflows and RAG pipelines to improve accuracy cost-efficiency latency and safety. 

  • Design and build multi-step agentic systems that break down complex tasks invoke external tools or APIs manage state and handle reasoning chains robustly. 

  • Deploy models and GenAI pipelines in production environments (API batch streaming) ensuring reliability and scalability. 

  • Build and maintain evaluation frameworks to measure model grounding factuality latency and cost. 

  • Develop and integrate guardrails (e.g. prompt-injection protections content moderation output validation) and safeguards for agent loops (e.g. loop prevention tool call limits state validation). 

  • Collaborate cross-functionally with Product Engineering and ML Ops to deliver high-quality AI features end-to-end. 


Qualifications :

Experience: 3 years applied machine learning with hands-on focus on NLP transformers or generative AI systems. 

LLM and Agent Tools: Hands-on experience with LLM-related libraries (e.g. LangChain LlamaIndex OpenAI API CrewAI or similar) and services (Azure Prompt flow AWS Bedrock agents or similar) 

Agentic Systems: Experience designing multi-step agents that combine LLM reasoning with tool/API calls with safeguards against errors loops and unsafe tool use. 

ML Foundations: Proven experience building and deploying machine learning models to production (API batch or streaming). 

Coding: Fluency in Python with clean modular production-grade code practices. 

Experimentation: Strong ability to design and analyze ML experiments; track performance using metrics not gut feel. 

Deployment: Ability to develop deploy and monitor AI-powered applicaitons in cloud environments (e.g. AWS Azure GCP) using APIs batch or streaming architectures. Familiarity with containerization versioning and CI/CD. 

Responsible AI: Experience implementing privacy bias mitigation safety guardrails or related practices. 

  • Degree in Computer Science Data Science Engineering or a related field (or equivalent experience). 

  • Expertise in transformer-based models and LLM architectures. 

  • Ability to bridge rapid prototyping and production deployment you own what you build through to live systems. 

  • Strong collaborator who thrives at the intersection of DS Engineering. 


Additional Information :

Due to a high volume of inauthentic applications we require a current and complete LinkedIn profile for consideration


Remote Work :

No


Employment Type :

Full-time

Employment Type

Full-time

Company Industry

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