Top Generative AI Jobs in Boston, MA

The equity researcher will design, test, and improve generative AI tools for financial analysis, producing high-quality research outputs and evaluating AI-generated research.

Design, build, and ship production-grade agentic AI systems that connect code context with runtime observability. Implement end-to-end LLM systems (prompting, tool calling, retrieval, memory, agents), define evaluation metrics and datasets, integrate with development workflows and Dynatrace, set technical strategy, mentor engineers, and own monitored production systems.

Seeking experienced Equity Research professionals to improve generative AI tools for financial analysis, requiring expertise in equity research, forecasting, and valuation methodologies.

The Senior Director of Generative & Agentic AI will lead Babel Street's AI strategy, architecting scalable AI capabilities and collaborating across teams for product integration and operational excellence in risk intelligence applications.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

Develop and deploy AI-powered chatbot applications, design conversational flows, integrate with various platforms, and optimize performance.

Design and build AI-powered chatbot solutions, optimize performance, and integrate with various platforms using NLP techniques.

As a Senior ML Engineer, you will lead the design and operation of GenAI solutions, focusing on LLM development and deployment, mentoring colleagues, and collaborating with cross-functional teams to enhance AI capabilities for the insurance sector.

Review text prompts and AI-generated videos to identify mismatches, visual or behavioral errors, and tag incorrect prompt text. Add concise annotations, perform self-QA, participate in calibration, document recurring model failures, and meet throughput and quality targets using structured annotation platforms.

Review text prompts and AI-generated video clips to identify mismatches, visual or behavioral errors, and tag incorrect prompt text. Create concise annotations, perform self-QA, follow project guidelines, attend calibrations, and document recurring issues while meeting throughput and quality targets.

Perform detailed annotation, labeling, and quality assurance on text, image, video, and multimodal datasets for generative AI. Evaluate prompts/responses, refine guidelines, identify edge cases, support data workflows, and collaborate to improve dataset and model quality.

Review, evaluate, and annotate AI-generated text, image, audio, and video in Simplified Chinese. Perform quality checks, identify edge cases, participate in calibration, and provide feedback to improve annotation guidelines and datasets for generative AI models.

Interact with generative AI models to create and evaluate prompts, identify safety failures, document model breakability and failure points, review multimodal content, apply safety taxonomies, perform high-volume annotation sprints, participate in calibration and quality reviews, and flag unclear guidelines or tooling issues.

The AI Platform Engineer will design and deploy generative AI platforms, manage infrastructure, and ensure scalability, while collaborating across teams for continuous improvement.

Lead the design and development of ML inference systems, focusing on generative AI models and optimization techniques for production environments.

Lead and drive strategy for generative AI projects, develop cutting-edge models, engineer data pipelines, and collaborate across teams to implement AI solutions.

The Senior Software Engineer will design and implement Generative AI solutions, collaborate with teams, enhance AI applications, and mentor others in best practices.

The role involves architecting and scaling Generative AI capabilities, automating workflows, and ensuring secure AI integration in products, with a focus on safety and efficiency.

As a Principal Research Engineer, you will develop scalable data pipelines and generative AI tools for the AEC industry, collaborating across teams to enhance data for machine learning applications.

As a Senior Solutions Architect, you will assist customers in building solutions with NVIDIA's AI technology, focusing on Generative AI and Large Language Models while collaborating across teams for performance analysis.

The Principal Engineer for Generative and Agentic AI will lead the design and development of resilient AI-powered systems for transforming customer interactions and will focus on integrating cutting-edge AI technologies into production-grade applications within the fintech sector.