AI Careers

Training legal AI agents on contract review and compliance standards.

Leading sales efforts for AI-based medical imaging analysis tools in hospital systems.

Managing and training AI models on high-quality annotated datasets for computer vision.

Performs annotation and correction of AI agent responses to ensure they align with evidence-based clinical guidelines.

Bridge the gap between technical AI product capabilities and sales outcomes for government-focused AI solutions.

Manage the technical documentation lifecycle for advanced neural network platforms and AI research tools.

Creating original programming problems and test suites to train and evaluate AI coding models.

Evaluates AI outputs specifically related to adult inpatient nursing care and clinical decision support.

Clinical-review track role evaluating AI outputs that touch clinical decision-making and medical data.

Supporting technical sales for vector database solutions used in AI/ML applications.

Training AI models on software engineering best practices and code optimization.

Reviews and grades AI-generated clinical imaging interpretations to validate model performance.

Evaluating and refining AI model responses for linguistic accuracy and nuance.

Leading sales strategy for enterprise-grade LLM integration into business workflows.

Technical sales role focused on implementing agentic AI platforms for financial services clients.

Training AI models on complex mathematical reasoning and problem-solving tasks.

Overseeing global sales strategy for open-source AI infrastructure and enterprise hubs.

Subject matter expert supporting the evaluation of AI-driven clinical agents for acute symptom triage and chronic disease management.

Conducts research on AI and data analytics applications within radiation oncology to improve clinical decision-making.

Lead a team of prompt engineers to refine model behavior for creative and generative AI applications.

Focuses on enterprise generative AI adoption, targeting Fortune 500 companies across various industries.

Evaluates AI-generated clinical outputs and differential reasoning to ensure safety and alignment with nursing protocols.

Clinical-review track for evaluating AI outputs that touch nursing triage, grading differential reasoning and dosing logic.

Leads end-to-end development of AI-powered solutions and agentic workflows for medical colleagues to improve scientific evidence generation.

Write technical guides and developer documentation for large language model fine-tuning and deployment.

Engaging hospitals and health systems to sell AI-driven quality management and clinical solutions.

Develop curriculum and training content for AI certification programs and technical enablement workshops.

Consulting with clinical teams to implement AI-powered stroke detection and care coordination platforms.

Manage the full sales cycle for predictive AI SaaS solutions sold to enterprise data science teams.

Responsible for building target account lists using AI and qualifying inbound leads for high-value enterprise accounts.

Engaging technical leaders and AI labs to build strategic partnerships for next-generation AI systems.

Specialized role training AI models on health technician workflows and clinical data accuracy.

Selling AI-powered contact center intelligence platforms to enterprise customers.

Experienced nurses help train and evaluate AI systems by reviewing clinical documentation and EHR data for accuracy.

Medical professionals evaluate and train AI models on clinical reasoning and healthcare topics to ensure accuracy in medical AI outputs.

Enable internal and external teams to adopt AI tools through hands-on workshops and technical enablement materials.

Outreach to enterprise clients for AI-powered search and research platforms.

Develop and optimize complex prompts for enterprise-grade LLMs to improve output accuracy and task automation.

Partner with sales teams to design and present custom AI architecture solutions to enterprise clients.

Utilizes AI-augmented prospecting workflows to qualify leads and book meetings for the sales team.

Training generative AI models on creative writing, tone, and stylistic consistency.

This role designs AI-enabled clinical products and defines the clinical capability agenda for the organization.

Supports the development and deployment of AI/ML models specifically for radiation oncology clinical workflows.

Drive enterprise sales strategy for autonomous AI agent platforms targeting Fortune 500 companies.

Evaluates AI outputs across pharmacy operations and medication logic to ensure clinical compliance.

Focuses on the safety evaluation of AI models used in nursing triage workflows to ensure clinical accuracy.

Create comprehensive documentation for AI APIs, SDKs, and machine learning model deployment guides.

Driving enterprise adoption of large language models and AI safety platforms.

Leads enterprise-wide strategy for nursing innovation and the implementation of AI-enabled clinical workflows.

Lead technical demonstrations and sales engineering for enterprise AI agents and LLM-based platforms.

Contract role focused on rapid iteration and testing of prompts for customer-facing AI chatbot agents.

Technical sales role focused on deploying agentic AI solutions specifically for the healthcare sector.

Training AI models on scientific literature and research data interpretation.

Builds data pipelines and machine learning models using cloud-native tools like Databricks and Azure.

Consult with leading organizations to build and scale responsible AI frameworks and assurance programs.

Lead the infrastructure team responsible for scaling AI model training and inference clusters.

Identify and shape new enterprise opportunities by scaling AI-driven platform solutions.

Coordinate complex AI product development cycles for autonomous driving platforms.

Drive go-to-market strategy and product development for AI observability and evaluation tools.

Oversee the product roadmap for on-device AI capabilities, focusing on machine learning stacks and container runtimes.

Builds and optimizes systems for serving large language, vision, and multimodal models using advanced inference techniques.

Supports enterprise clients in implementing AI and agentic monitoring solutions within their infrastructure.

Define the long-term AI roadmap and investment strategy for a major financial technology firm.

Lead consulting engagements helping enterprises transition to AI-native business models.

Responsible for driving technology-focused client delivery, including prototyping LLM applications and RAG pipelines.

Design and manage AI governance programs to ensure safe, legal, and ethical AI deployment across the organization.

Advise clients on operational resilience and governance frameworks specifically for AI-integrated systems.

Ensure successful adoption and implementation of AI-as-a-service platforms for enterprise customers.

Monitor and audit AI model performance and compliance with internal safety and regulatory standards.

Provide high-quality training data for AI models by solving mathematical problems and verifying outputs in Hindi.

Works on advanced ML systems and research engineering to support large-scale model training and data processing.

Develops machine learning models for automotive applications, focusing on perception and autonomous systems.

Provide technical leadership for AI software engineering initiatives within the energy sector.

Design AI-driven diagnostic tools and patient management platforms for healthcare providers.

Manage the development and fine-tuning of LLM-based conversational products for enterprise users.

Evaluate generative AI responses for accuracy and quality specifically for food delivery service AI models.

Apply sales operations expertise to help train and optimize AI-driven go-to-market and revenue operations platforms.

Design and deliver training programs focused on AI workflows, automation, and machine learning implementation for technical teams.

Manage operational workflows for AI-specialized hardware and GPU engineering teams.

Design scalable AI architectures for enterprise clients integrating LLMs into existing workflows.

Lead quality assurance for AI training projects requiring fluency in Gujarati and advanced mathematics knowledge.

Deliver advanced technical training on AI infrastructure and data center technologies to enterprise clients.

Manage high-value client relationships and drive product adoption for AI-powered analytics software.

Leverage domain expertise in chemistry and physics to train AI models on complex scientific data and drug discovery workflows.

Lead the strategic direction and development of AI-driven product portfolios within a major technology firm.

Applies machine learning expertise to public sector projects, focusing on model deployment and data optimization.

Build AI-first onboarding systems and use AI to personalize sales enablement content at scale for customer-facing teams.

Bridge scientific research and AI product development for advanced material discovery platforms.

Develop and advocate for AI regulatory frameworks and ethical standards in the technology sector.

Develops greenfield solutions for ML research and deployment pipelines, including feature stores and model serving infrastructure.

Focuses on building and maintaining scalable AI/ML environments and infrastructure for enterprise data science teams.

Lead a team of ML experts building agentic AI and LLM-powered intelligence features for identity governance.

Assess AI-generated outputs for linguistic accuracy and naturalness in Malay to refine voice design guidelines.

Focuses on developing novel machine learning algorithms and testing ideas with real-world data in a collaborative research environment.

Manage the product lifecycle for agentic AI interfaces and virtual assistant platforms.

Lead a team of engineers building high-performance AI data pipelines and model training infrastructure.

Deliver expert training on tax technology solutions while utilizing generative AI tools to improve deliverables and adopt AI best practices.

Transcribe and annotate speech data to improve the accuracy of Hindi-language AI speech recognition models.

Provide expert guidance on bias mitigation and ethical AI development for corporate clients.

Utilize full-stack development expertise to train AI coding assistants and evaluate technical model performance.