1345 Artificial Intelligence Tutor jobs in Boston,MA

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Forward Deployed Software Engineer

Growth Signals

Boston, MA 02115

Hybrid

3+ years in a software, solutions, or customer‑facing technical role.
Background supporting enterprise software delivery or implementation projects.
Working knowledge of project management practices, including requirements definition, milestone planning, and delivery coordination.
Proficiency with APIs, cloud platforms, and modern SaaS architectures.
Hands‑on development of frontend components using React and TypeScript, integrated with backend services.
Capability designing and implementing secure backend APIs using Python (e.g., Flask, Pydantic, Pyright, or similar frameworks).
Strong customer‑facing communication skills, comfort working in structured delivery environments, and willingness to travel 40–50%.
Participation in end‑to‑end delivery of enterprise customer solutions, supporting engagements from requirements and discovery through deployment and adoption.
Own the project execution lifecycle for customer engagements, including requirements gathering, milestone definition, task breakdown, dependency tracking, and delivery coordination.
Support the technical lifecycle of customer implementations, including solution design, configuration, integration, deployment, and post‑deployment stabilization.
Engage directly with customers during implementation phases—including onsite participation—to support successful delivery, adoption, and operational readiness.
Design and support secure, scalable, and reliable software solutions appropriate for enterprise environments.
Maintain delivery standards related to solution quality, documentation, deployment readiness, and adherence to enterprise security and compliance practices.

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Senior Scientist, Cell Biology

Alnylam Pharmaceuticals

Cambridge, MA 02138

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Systems Modeling, Simulations & Analysis Engineer with Security Clearance

Digital Prospectors

Boston, MA 02108

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Front Desk Receptionist

Adecco

Hingham, MA 02043

$28/hr

~ 34 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Must be comfortable working Monday–Friday 4:00 PM – 12:00 AM
Must be comfortable working onsite during the designated shift schedule
Previous experience in a receptionist, front desk, concierge, customer service, hospitality, or office support role
Basic proficiency with Microsoft Outlook and general computer applications

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Senior AI Agent Engineer

GE Vernova

Cambridge, MA 02140

Paid Relocation to Cambridge, MA

Hybrid~ 10 minEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

5+ years of relevant experience and a Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields.
3+ years of experience in AI, GenAI application development & deployment particularly with autonomous agent systems or related AI software engineering roles.
3+ years of experience designing and building GenAI apps that allow users to experience AI use cases supporting features like agent orchestration, multi-step reasoning, prompt engineering, RAG integration, and model selection
3+ years of experience with LLMs and deep learning models, machine learning lifecycle management, data generation methods, model training & validation coupled with strong fundamentals and passion in software engineering and system architecture.
Proficiency in Python and/or languages like JavaScript, TypeScript, Node.js, or Java, Go, with strong coding and software engineering practices.
Expertise with AI/ML libraries and frameworks such as LangChain, OpenAI APIs, PyTorch, TensorFlow, commercial or open source LLMs.
Hands-on experience with LLMs, prompt engineering, and natural language processing (NLP).
Knowledge of agent orchestration platforms and multi-agent systems (e.g., AutogenAI, LangGraph, MCP protocol).
Familiarity with data management, vector databases, semantic retrieval, and real-time data pipelines.
Experience deploying AI systems on cloud platforms (AWS, Google Cloud) with container orchestration (Docker, Kubernetes).
Strong understanding of machine learning model training, fine-tuning, and evaluation techniques.
Awareness of AI ethics, data privacy, and secure handling of sensitive information.
Must be 18 years or older
Legal authorization to work in the U.S. is required. We will not sponsor individuals at the Bachelor's level for employment visas, now or in the future, for this job opening.
You must submit your application for employment on the careers page at www.gecareers.com to be considered
Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA.
Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided.
Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).