1887 Av Network Engineering Ai Intern jobs in Boston,MA

Principal AI Software Engineer

GE Vernova

East Cambridge, MA 02141

OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Computer Engineering, or related technical field.
10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go).
Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale.
Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications.
Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks).
Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship.
Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS).
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.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening.

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Remote QA Engineer (AI/ML Focus)

Special Projects Engineering LLC

Boston, MA 02115

Remote

New, Posted 7 hours ago

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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).

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Application Builder, Ring Software Product Builders

Amazon.com Services LLC

North Reading, MA 01864

~ 30 min OnsiteUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience as a mentor, tech lead or leading an engineering team

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New, Posted 7 hours ago

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Software Engineer II (Backend, AI Experiences & AI Platform)

Whoop

Boston, MA 02115

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Manager, AI Engineer

KPMG

Boston, MA 02115

OnsiteHealth InsuranceRetirement Benefit

Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
Master's degree from an accredited college or university preferred
Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
Knowledge of AI security, data privacy, governance, and ethical AI frameworks
Strong problem-solving skills with the ability to translate complex technical concepts for executives
Excellent verbal and written communication skills, with experience creating client-facing deliverables
Willingness and ability to travel
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity

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New, Posted 6 hours ago

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Principal AI Product Engineer

Hi Marley

Boston, MA 02115

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Principal AI Solutions Engineer

Freshworks

Boston, MA 02115

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Lead Product Manager - Physics-AI & Thermal-Mechanical Systems

Flexcompute

Watertown, MA 02472

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Network Engineer, Signal Source Solutions

Communication Technology Services (CTS)

Marlborough, MA 01752

~ 39 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Experience working as part of an in-building coverage team at AT&T;, Verizon or T-Mobile, either as an employee of one of these companies or as a key supplier to these companies is required.
Proven track record in designing and deploying in-building cellular networks required.
Certifications or relevant work experience in IP networking, VPN configurations, and firewall deployments is required
Experience specifically with Fortinet® is preferred
Proficiency with the iBwave® is required
BS/BA degree, preferably in Engineering or equivalent experience

SmartExplore AI is experimental.