867 Geisel Software jobs in Massachusetts

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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Senior Associate, Full Stack Developer - GCP

KPMG

Boston, MA 02115

OnsiteHealth InsuranceRetirement Benefit

A minimum of three years of full stack development and programming experience with proven experience as a Full Stack Developer or similar role.
Bachelor's degree in computer science, Software Engineering, or a related field.
Strong expertise in Java, Python, and React JS and proficiency with Spring Boot, and Kubernetes.
In-depth understanding of microservices architecture with a solid understanding of software engineering principles and practices with experience with GenAI and large language models (LLM).
Experience with SQL databases and cloud platforms (GCP).
Knowledge of CI/CD processes and tools like Maven, familiarity with version control systems like Git.
Ability to travel
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 (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H1B1, F-1, J-1, OPT, CPT or any employment-based visa)

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Hotel Operations Manager

EXCHANGE ST HOTEL LLC

Boston, MA 02114

Flexible Schedule

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Embedded Software Engineer

CIENA

Burlington, MA 01803

Flexible Schedule

New, Posted 1 day ago

Hotel Operations Manager

EXCHANGE ST HOTEL LLC

Boston, MA 02116

Flexible Schedule

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Maintenance Supervisor

Packaging Corporation Of America

Northampton, MA 01060

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Associates degree or completed certification in production maintenance
5+ years' previous experience in equipment and electrical maintenance
Ability to work flexible hours as needed
Must be authorized to work in the U.S.

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Senior AI Agent Engineer

GE Vernova

Cambridge, MA 02140

Paid Relocation to Cambridge, MA

HybridEducation 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).