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Ai Rag Jobs in Haverhill, MA (NOW HIRING)

Conducts structured Threat Modeling & Risk Assessment exercises for generative AI, RAG, and agent-based systems, evaluating risks such as prompt injection, data poisoning, model extraction, model ...

Senior Data Architect

Boston, MA · On-site

$130K - $189K/yr

Knowledge of AI/ML foundational components: vector databases, feature stores, RAG pipelines, metadata management. * Strong understanding of data modeling (conceptual, logical, physical), master data ...

Knowledge of AI/ML foundational components: vector databases, feature stores, RAG pipelines, metadata management. * Strong understanding of data modeling (conceptual, logical, physical), master data ...

AI Engineer

Burlington, MA · On-site

$150K - $180K/yr

What We Need We're looking for a Senior AI Engineer to design and build production-grade agent and RAG systems that power intelligent, reliable automation across our platform. This role combines ...

Develop Retrieval-Augmented Generation (RAG) solutions using embeddings, vector databases, document indexing, and knowledge retrieval systems. * Integrate AI models with enterprise systems, APIs ...

AI Developer, AVP

Burlington, MA · On-site

$54.75 - $75.25/hr

Implement RAG pipelines using enterprise data sources and vector databases * Develop and integrate multi-agent systems using MCP servers, APIs, and A2A based tooling * Embed AI capabilities into core ...

Sr. AI Developer, VP

Burlington, MA · On-site

$59.25 - $78.25/hr

Required : • Strong experience in LLMs, AI orchestration, and distributed systems • Ability to translate emerging AI patterns (e.g., RAG, agent frameworks, MCP integration) into secure, scalable ...

Senior Principal AI Engineer

Boston, MA

$136K - $187K/yr

AI Control Tower operations: standing up and running the centralized control plane for agent ... RAG pipelines, vector search, document retrieval, and the grounding patterns that make enterprise ...

AI Engineer

Burlington, MA · On-site +1

$150K - $180K/yr

... AI Systems ... Design and implement RAG services, including hybrid retrieval, reranking, embeddings, and citation ...

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Ai Rag information

See Haverhill, MA salary details

$33.4K

$60.8K

$87.2K

How much do ai rag jobs pay per year?

As of Aug 6, 2026, the average yearly pay for ai rag in Haverhill, MA is $60,836.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,200.00 and $67,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What job categories do people searching Ai Rag jobs in Haverhill, MA look for? The top searched job categories for Ai Rag jobs in Haverhill, MA are:
What cities near Haverhill, MA are hiring for Ai Rag jobs? Cities near Haverhill, MA with the most Ai Rag job openings:

AI Engineer -North Reading, MA***100% Onsite***Immediate Interview-HCL

Inherent Technologies

North Reading, MA • On-site

Other

Re-posted 9 days ago


Job description

Position: AI Engineer

Location: North Reading, MA***Day 1 Onsite***

Duration: 1 Years

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field.
  • 4+ years of experience in AI/ML engineering or AI solutions architecture.
  • Proven track record of building and deploying real-time AI systems into production.
  • Deep understanding of Generative AI, RAG systems, fine-tuning, and AI agent frameworks.
  • Strong architectural expertise in integrating diverse technologies across software engineering environments.
  • Familiarity with AI compliance and data governance requirements across multiple countries.
  • Hands-on experience with AI augmentation tools applicable to enterprise environments.
  • Excellent communication and collaboration skills to engage with diverse teams across engineering, IT, and legal functions.

Preferred Qualifications

  • Experience with modern AI frameworks such as LangChain, LlamaIndex, or other orchestration tools.
  • Background in software engineering productivity or developer experience (DevEx) improvement roles.
  • Knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform) for deploying AI workloads.
  • Familiarity with MLOps or model deployment processes (external use cases preferred).
  • Demonstrated success in introducing AI tools into large-scale organizations.

Rohit Chauhan