Waltham, MA

Engineer Jobs in Waltham, MA

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Today

AI Engineer

SOLIDWORKS Waltham, MA

Waltham, MA

Today

Full time Backend Developer Python Agentic Ai

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Job Description

AI Engineer position in Waltham, MA focused on building AI agents that connect with SolidWorks to automate engineering workflows.

Responsibilities

Design and develop AI agents that interact with SolidWorks via APIs.
Build multi-step reasoning workflows where agents parse instructions, plan actions, and carry out CAD operations.
Integrate AI agents into client-server architectures using WebSocket, REST, or other communication protocols.
Implement automated sketch creation and 3D model generation.
Debug and optimize agent workflows to maintain robust and accurate outputs.
Evaluate agent performance, tune prompts, and reduce hallucinations in structured engineering tasks.
Collaborate with mechanical engineers, UI/UX developers, and product definition to build and implement AI agentic workflows.

Requirements

Bachelor’s or Master’s Degree in Computer Science Engineering, IT, or a related engineering stream.
2–5 years of experience with C#, C++/C, Python, and AI technologies.
Strong understanding of software engineering principles and object-oriented programming.
Interest or experience with AI/ML for graphics, rendering, image generation, or workflow automation is a plus.
Familiarity with CAD, visualization, simulation, or content creation applications is beneficial.
Knowledge of other scripting languages is a plus.

Technologies

C#, C/C++, Python
LLMs, Embeddings, vector search (RAG systems)
Agent frameworks (multi-step reasoning, tool use)
LangChain or LlamaIndex
OpenAI / Gemini / Claude APIs
Visual Studio, Git, Azure DevOps, Jira
WebSocket, REST, Cursor, VS Code
Claude

Benefits

Choice of plans providing comprehensive coverage for medical, dental, vision for employee & dependents
Employee life
Short and long term disability
Tuition reimbursement
Immediate 401K enrollment
401K match (50 cents on the dollar, up to the first 8% of eligible compensation contributed based on match eligibility criteria)
Flexible time off policy
10 paid holidays

Location: Waltham, MA (onsite)

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Today

Staff AI Engineer

Nova Biomedical Waltham, MA

Waltham, MA

Today

$230k - $280k/yr Full time Agentic Ai Orchestration Ai Agent Platform Ai Engineer

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Job Description

Staff AI Engineer will act as a senior hands-on technical leader inside Nova Biomedical’s Data & AI function, helping turn enterprise AI use cases into secure, maintainable production capabilities.

Responsibilities

Lead design, build, deployment, and support for AI agents, copilots, RAG applications, tool-calling workflows, and AI-enabled workflow automations.
Define and implement reusable AI engineering patterns across prompt design, retrieval strategies, embeddings, vector stores, orchestration, API integration, evaluation, guardrails, logging, monitoring, and incident response.
Build and evolve shared AI platform components including agent orchestration services, model gateway patterns, retrieval services, prompt and policy management, evaluation frameworks, secrets handling, deployment templates, and reusable integration libraries.
Design platform controls for model access, environment separation, telemetry, cost management, usage tracking, audit logging, and responsible AI guardrails for safe reuse across teams.
Partner with enterprise architecture, security, data engineering, analytics, IT operations, quality, and business stakeholders to ensure solutions meet enterprise requirements before scale.
Convert prototypes into production-ready services with documented architecture, deployment steps, ownership model, monitoring approach, and support procedures.
Establish practical evaluation harnesses to test factuality, retrieval quality, safety behaviors, workflow completion, and regression risk across releases.
Contribute to Nova’s AI control plane and agent ecosystem by building repeatable integration patterns with enterprise systems, data platforms, business applications, and automation tools.
Provide technical leadership to internal engineers and implementation partners via code review, design review, reusable templates, and implementation playbooks.
Balance speed and governance by delivering business-valuable solutions while preserving security, privacy, auditability, and maintainability.

Requirements

10+ years hands-on experience building AI, machine learning, automation, data, or modern software applications in enterprise environments.
Strong proficiency with Python or similar languages, plus APIs, cloud services, application integration, CI/CD concepts, and version control.
Deep familiarity with LLMs, RAG patterns, embeddings, vector databases/vector stores, prompt engineering, agentic workflows, workflow orchestration, and model or application evaluation.
Experience designing or operating AI platform capabilities such as model gateways, agent platforms, shared retrieval services, prompt registries, evaluation pipelines, observability stacks, or reusable deployment frameworks.
Ability to make architecture decisions across build versus buy, prototype versus production, and centralized platform versus use-case-specific implementation.
Experience documenting technical decisions, tradeoffs, runbooks, operating procedures, and support models for long-term maintainability.
Strong collaboration and communication skills across business, technical, security, data, and quality stakeholders.
Ability to mentor contributors while staying hands-on with code, integration, testing, and troubleshooting.

Technologies

Python
LLMs
RAG
Embeddings
Vector databases, vector stores
Agent orchestration services
Model gateways
API integration
CI/CD
Cloud services
Azure OpenAI
Microsoft Azure
Power Platform
Microsoft Fabric
Databricks
AWS AI services
Microsoft 365
Salesforce
SAP
ServiceNow
MLOps, LLMOps
Infrastructure-as-code
Containerized services
Identity integration
Secrets management
Data governance
Identity and access management
Privacy
Responsible AI

Benefits

Employment terms, work location, schedule, compensation, and benefits will align with Nova’s standard HR practices for the final approved position and posting location.

Preferred Experience

Experience with Microsoft Azure, Azure OpenAI, Power Platform, Microsoft Fabric, Databricks, AWS AI services, or modern agent frameworks.
Experience applying AI in regulated, GxP, medical device, diagnostics, healthcare, manufacturing, or other data-sensitive business environments.
Experience with evaluation harnesses, prompt security, model monitoring, agent observability, prompt or policy versioning, and audit-ready AI delivery practices.
Experience with MLOps, LLMOps, platform engineering, infrastructure-as-code, containerized services, service deployment, identity integration, secrets management, and production observability.
Experience integrating AI applications with enterprise systems such as Microsoft 365, Salesforce, SAP, ServiceNow, document repositories, data warehouses, APIs, or workflow automation platforms.
Familiarity with data governance, information security, identity and access management, privacy, retention, and responsible AI practices.

What Success Looks Like

Priority AI use cases are delivered as working, documented applications or agents adopted by target users.
AI solutions are secure, maintainable, monitored, evaluated, and ready for internal ownership after launch.
Reusable code, templates, reference architectures, and implementation playbooks accelerate future AI delivery.
The AI platform provides reusable services, standards, and controls that reduce one-off development and enable secure AI delivery faster for future use cases.
Internal engineers and implementation partners follow consistent engineering patterns for AI development, deployment, evaluation, and support.
Business stakeholders experience Data & AI as a strategic partner delivering outcomes, not only as a platform provider.

Location: Waltham, MA (hybrid) | Compensation: USD 230,000 - 280,000 per year | Experience: 10+ years

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Engineer Jobs in Waltham, MA

AI Engineer

Staff AI Engineer

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