• Architect and lead the 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. • Oversee the deployment of AI-powered applications across cloud environments (AWS, Azure, or GCP) ensuring scalability, reliability, and cost-efficiency. • Establish 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 ownership. • Mentor and guide junior and mid-level engineers, ensuring high-quality, modular, and maintainable Python code standards. • Drive experimentation strategies, define KPIs, and promote data-driven decision-making across AI initiatives.

• Architect and lead the 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. • Oversee the deployment of AI-powered applications across cloud environments (AWS, Azure, or GCP) ensuring scalability, reliability, and cost-efficiency. • Establish 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 ownership. • Mentor and guide junior and mid-level engineers, ensuring high-quality, modular, and maintainable Python code standards. • Drive experimentation strategies, define KPIs, and promote data-driven decision-making across AI initiatives.

Role Description We are looking for highly qualified STEM graduate‑level candidates to contribute to generative AI initiatives. This role involves supporting data collection and evaluation workflows, collaborating closely with AI researchers, and ensuring the development of high‑quality STEM focused content. It is a hands‑on position that blends subject matter knowledge with strong analytical and instructional capabilities. - Work with AI researchers and engineers to understand data collection and evaluation needs. - Translate requirements into clear workflows for larger teams. - Execute and manage data workflows quickly and with high quality. - Create new and efficient methods for collecting and evaluating STEM-related data. - Collaborate with peers and cross-functional teams to deliver large volumes of accurate data. Qualifications - Currently enrolled Master’s students or early‑stage PhD candidates in Computer Science, Mathematics, Physics, Electrical Engineering, or related STEM fields. - Technical & Quantitative Competitions: Participation or strong performance in recognized mathematics, computing, or physics competitions at the national or international level. - Advanced Tech Challenges: High achievement in prestigious problem‑solving or programming competitions at the collegiate or global stage. - Academic Excellence: Graduated at the top of the undergraduate class or achieved outstanding academic standing from a highly competitive engineering, mathematics, or pre‑medical program. - Intermediate knowledge of Python and familiarity with Google Colab are required. Company Description DataForce by TransPerfect is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide. We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine Learning in different AI domains. To learn more about DataForce please visit us at https://www.transperfect.com/dataforce .

• Lead solution design, architecture, and scaled enablement of enterprise AI solutions • Build stakeholder relationships and lead executive briefings • Define end-to-end solution blueprints and standards • Govern architectural integrity across programs and manage risks • Mentor architects/engineers and contribute to IP, playbooks, and reusable components