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Java Ai Developer Jobs in Mansfield, MA (NOW HIRING)

Lorvenk Technologies LLC

AI Engineer

Boston, MA

Seeking a highly skilled AI Engineer to design and build Generative and Agentic AI systems that ... Familiarity with Java, JS, and Java applications and environments. * Experience with MLOps / LLMOps ...

Outlier AI

OpenClaw AI Engineer (Remote)

Boston, MA · Remote

Whether you are a passionate orchestration guru or experienced software developer -- we want you to ... Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and ...

Capital One

Lead AI Engineer (AI Foundations)

Cambridge, MA

$112K - $147.60K/yr

At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g.

Anagh Technology

AI Engineer

Boston, MA · Hybrid

AI Engineer Location: Boston, MA - 4 days/week onsite F2F Interview is required This role focuses ... We currently have 30+ positions in Angular, React, Node, and Java. If technically strong, we can ...

New

Capital One

Lead AI Engineer (AI Foundations)

Cambridge, MA

$112K - $147.60K/yr

At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g.

Capital One

Lead AI Engineer, AI Foundations

Cambridge, MA

$112K - $147.60K/yr

At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g.

Capital One

Lead AI Engineer (AI Foundations)

Cambridge, MA · On-site

$112K - $147.60K/yr

At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g.

Capital One

Distinguished AI Engineer

Cambridge, MA

At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g.

Capital One

Lead AI Engineer

Cambridge, MA

$112K - $147.60K/yr

At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g.

Capital One

Distinguished AI Engineer

Cambridge, MA

At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g.

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How much do java ai developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for java ai developer in Mansfield, MA is $60.02, according to ZipRecruiter salary data. Most workers in this role earn between $51.92 and $67.16 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Java AI Developer, and why are they important?

To thrive as a Java AI Developer, you need strong proficiency in Java programming, machine learning concepts, and a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or Deeplearning4j), version control systems like Git, and experience with cloud platforms are typically required. Creative problem-solving, strong analytical thinking, and effective communication skills help developers collaborate and innovate in complex AI projects. These skills ensure the delivery of efficient, scalable AI solutions and foster productive teamwork in fast-evolving tech environments.

What are some common challenges faced by Java AI Developers when integrating machine learning models into existing enterprise systems?

One of the main challenges Java AI Developers encounter is ensuring seamless integration of machine learning models—often built with Python-based frameworks—into Java-based enterprise environments. This can involve using APIs, microservices, or platforms like TensorFlow Java and Deeplearning4j to bridge compatibility gaps. Additionally, developers must optimize model performance for scalability and real-time inference, which requires thorough testing and tuning. Effective collaboration with data scientists and DevOps teams is crucial to address deployment issues and maintain model accuracy in production.

What is a Java AI Developer?

A Java AI Developer is a software professional who designs, develops, and implements artificial intelligence solutions using the Java programming language. They build machine learning models, integrate AI features into applications, and work with frameworks and libraries suited for AI development in Java. Their role often involves data processing, algorithm development, and deploying scalable AI-powered applications. Java AI Developers may work in various industries such as finance, healthcare, or technology to create intelligent systems that help solve complex business problems.
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AI Engineer

Lorvenk Technologies LLC

Boston, MA

Other

Posted 12 days ago

Job description

This role focuses on developing AI applications powered by large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP) servers, and Agentic AI across the enterprise. Need someone with Langchain/LangGraph exp.

Seeking a highly skilled AI Engineer to design and build Generative and Agentic AI systems that transform how our company operates and serves customers. This role focuses on developing AI applications powered by large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP) servers, and Agentic AI across the enterprise for internal and customer facing use cases.

The ideal candidate has strong experience with a modern AI/ML stack, including a profound Python experience, including AI relevant packages and tools, LLM architectures and frameworks, RAG, MCP, prompt engineering, use of AI tools, budling teams of AI agents, and production-grade AI systems design and development.

You will work closely with technology, data, and business teams to build scalable AI solutions that drive operational efficiency and innovation across the enterprise.

Key Responsibilities:

  • Design, build, and deploy scalable LLM-powered applications, solutions, and digital products for customer support, business use cases, and internal productivity.
  • Develop AI agents, Agentic Platforms, and Agentic AI systems capable of reasoning, planning, and executing multi-step workflows.
  • Implement Retrieval-Augmented Generation (RAG) architectures and pipelines to leverage proprietary data, and internal knowledge bases.
  • Build MCP servers, multi-connectivity enabled and multi-modal Agentic platforms, and AI assistants to support internal teams and customer facing.
  • Integrate AI/ML solutions with enterprise systems, APIs, and data platforms.
  • Design prompt strategies, evaluation frameworks, and guardrails to ensure accuracy, security, and regulatory compliance.
  • Optimize LLM performance through fine-tuning, prompt engineering, and model orchestration.
  • Develop MLOps and LLMOps pipelines for monitoring, evaluation, and continuous improvement of AI systems.
  • Help in forming buy or build decisions and work with external vendors, consultants and internal teams to deliver scalable top-quality AI solutions timely.
  • Stay up to date with emerging advancements in AI/ML, Generative AI, Agentinc frameworks, and model architectures.

Required Qualifications:

  • Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, or related field.
  • 2+ years of software engineering experience, including work with machine learning (ML) or AI systems.
  • Hands-on experience building LLM-powered applications in production environments.
  • Strong programming skills in Python, and familiarity with AI/ML relevant packages such as NumPy, Pandas, SciPy and Scikit-learn.
  • Experience with LLM ecosystems such as:
    • OpenAI / Anthropic / Google, Open-source LLMs
    • Hugging Face
    • LangChain, LlamaIndex, or similar orchestration frameworks
  • Experience building RAG pipelines and working with vector databases.
  • Understanding of prompt engineering, embeddings, and model evaluation.
  • Experience building APIs, MCPs, and scalable backend services.
  • Experience with Claude Code, Codex, Cursor, GitHub Copilot, or similar.
  • Ability to collaborate with cross-functional teams.
  • Passion for technology and AI.

Preferred Qualifications:

  • Experience building AI agents, agentic platforms, or autonomous workflows.
  • Familiarity with agent frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel, Frontier, etc.).
  • Experience with fine-tuning LLMs or parameter-efficient training methods (LoRA, PEFT).
  • Experience with cloud-based AI infrastructure (AWS, Azure, or Google Cloud Platform).
  • Familiarity with Java, JS, and Java applications and environments.
  • Experience with MLOps / LLMOps tools and evaluation pipelines.

Experience implementing AI governance, observability, and guardrails.

Apply