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Associate Ai Agent Developer Jobs in Massachusetts

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge Graphs MLOps Certification Cloud Certifications (AWS, Azure, GCP)

AI/ML Engineer

Boston, MA · On-site

$35 - $45/hr

About the Role We are seeking a talented and innovative AI/ML Engineer to design, develop, and ... Multi-Agent Systems * Prompt Engineering * Fine-tuning LLMs * Knowledge Graphs * MLOps ...

AI/ML Engineer

Boston, MA · On-site

$32 - $35/hr

Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge Graphs MLOps Certification Cloud Certifications (AWS, Azure, GCP)

AI Engineer (Hybrid)

Boston, MA · Hybrid

$130K - $190K/yr

AI Agent Development: Build and deploy multiple production‐ready AI agents using Copilot Studio ... Cross‐Cloud Engineering: Implement and maintain integrations across OpenAI, Azure OpenAI, and AWS ...

AI Engineer (Hybrid)

Boston, MA · Hybrid

$130K - $190K/yr

AI Agent Development: Build and deploy multiple production‐ready AI agents using Copilot Studio ... Cross‐Cloud Engineering: Implement and maintain integrations across OpenAI, Azure OpenAI, and AWS ...

... AI, agent orchestration and workflows. • Expert programming skills in Python and AI development stacks with a focus on agent development. • Expertise in building agentic AI systems and ...

AI Engineer (Hybrid) (Boston)

Boston, MA · On-site

$130K - $190K/yr

AI Agent Development: Build and deploy multiple production‑ready AI agents using Copilot Studio ... Cross‑Cloud Engineering: Implement and maintain integrations across OpenAI, Azure OpenAI, and AWS ...

Work directly with Forge, Lattice, and Stratum -- our agent framework, orchestration layer, and ... engineering, data consulting, or technical implementation at a data or AI company * You've worked ...

New

Senior Software Engineer

Boston, MA · On-site

$129K - $193K/yr

Collaborate with engineering managers and cross-functional teams to integrate AI Agent solutions across the platform. * Drive engineering excellence by conducting rigorous code reviews, focusing on ...

Showing results 41-60

Associate Ai Agent Developer information

What is the difference between Associate Ai Agent Developer vs Machine Learning Engineer?

AspectAssociate Ai Agent DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related field; some certificationsBachelor's or Master's in CS, Data Science, or related; advanced certifications
Work EnvironmentTech companies, AI startups, R&D labsTech firms, AI companies, research institutions
Employer & Industry UsageDevelops AI agents, chatbots, virtual assistantsDesigns ML models, algorithms, data pipelines
Common Search & ComparisonOften compared for entry-level AI rolesMore advanced, research-focused roles

The Associate Ai Agent Developer typically focuses on building and maintaining AI agents like chatbots and virtual assistants, often at an entry to mid-level. In contrast, a Machine Learning Engineer develops complex ML models and algorithms, usually requiring more advanced skills and experience. Both roles are vital in AI development but differ in scope, complexity, and specialization.

What are the most commonly searched types of Ai Agent Developer jobs in Massachusetts?

The most popular types of Ai Agent Developer jobs in Massachusetts are:

What are popular job titles related to Associate Ai Agent Developer jobs in Massachusetts?

For Associate Ai Agent Developer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Associate Ai Agent Developer jobs in Massachusetts look for?

The top searched job categories for Associate Ai Agent Developer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Associate Ai Agent Developer jobs?

Cities in Massachusetts with the most Associate Ai Agent Developer job openings:

AI/ML Engineer

Winaxis

Boston, MA • On-site

$124K - $149K/yr

Full-time

Re-posted 19 days ago


Job description

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that solve real-world business problems. The ideal candidate should have strong expertise in machine learning algorithms, data processing, model deployment, and cloud technologies. Key Responsibilities Design, develop, train, and optimize Machine Learning and Deep Learning models. Build and maintain scalable data pipelines for model training and inference. Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics techniques. Deploy machine learning models into production environments using MLOps best practices. Work with large datasets and perform data preprocessing, feature engineering, and model evaluation. Collaborate with data engineers, software developers, and business stakeholders to understand requirements and deliver AI solutions. Monitor model performance and implement continuous improvements. Research and evaluate emerging AI technologies, frameworks, and industry trends. Develop APIs and microservices for AI model integration. Ensure data security, model governance, and compliance standards are maintained. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement Learning (preferred) Experience with SQL and NoSQL databases. Knowledge of model deployment frameworks such as Docker, Kubernetes, and MLflow. Experience working with cloud platforms such as AWS, Azure, or GCP. Familiarity with version control systems like Git. Preferred Qualifications Experience with Generative AI technologies and Large Language Models (LLMs). Hands-on experience with: LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and CI/CD pipelines. Experience with Databricks and Apache Spark. Technical Skills Python SQL TensorFlow PyTorch Scikit-learn Pandas NumPy Apache Spark MLflow Docker Kubernetes AWS/Azure/GCP Git REST APIs Generative AI & LLMs Soft Skills Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to work independently and in a team environment. Strong attention to detail and commitment to quality. Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge Graphs MLOps Certification Cloud Certifications (AWS, Azure, GCP)