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Ai Rag Jobs in Springfield, MA (NOW HIRING)

TensorFlow, PyTorch, LangChain • Expertise In Generative AI, Including RAG (Retrieval-Augmented Generation), AI Agents / Agentic frameworks, Prompt Engineering • Bachelor's degree or foreign ...

... RAG and Knowledge-Based AI Solutions • Intermediate experience with Cloud Platform (GCP, AWS) and hands-on cloud experience • Intermediate experience with MLOps, DevOps, and Deployment • Agile ...

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

RAG (Retrieval-Augmented Generation) AI Agents / Agentic frameworks Prompt Engineering Proficiency with Microsoft Azure AI ecosystem Preferred Skill and Experience Experience building Copilot or AI ...

Ensure evaluation frameworks span classification, information retrieval, RAG/chat, forecasting, and ... Accountable for portfolio-level AI governance ensuring alignment with Legal, Compliance, Model Risk ...

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

RAG (Retrieval-Augmented Generation) AI Agents / Agentic frameworks Prompt Engineering Preferred Skill and Experience Experience in Data Engineering & pipelines (ETL/ELT, streaming, batch processing ...

AI Automation Specialist

Hartford, CT · Hybrid

$70K - $80K/yr

Shipped at least one of these yourself: a retrieval (RAG) system, an LLM-powered tool, or a working ... AI coding tools already in your daily workflow (Claude Code, Cursor, Codex, Github Copilot, or ...

AI Automation Specialist

Hartford, CT · On-site

$70K - $80K/yr

Shipped at least one of these yourself: a retrieval (RAG) system, an LLM-powered tool, or a working ... AI coding tools already in your daily workflow (Claude Code, Cursor, Codex, Github Copilot, or ...

AI Automation Specialist

Hartford, CT · Hybrid

$70K - $80K/yr

Shipped at least one of these yourself: a retrieval (RAG) system, an LLM-powered tool, or a working ... AI coding tools already in your daily workflow (Claude Code, Cursor, Codex, Github Copilot, or ...

AI Automation Specialist

Hartford, CT · Hybrid

$70K - $80K/yr

Shipped at least one of these yourself: a retrieval (RAG) system, an LLM-powered tool, or a working ... AI coding tools already in your daily workflow (Claude Code, Cursor, Codex, Github Copilot, or ...

Showing results 21-40

Ai Rag information

See Springfield, MA salary details

$31.9K

$58K

$83.2K

How much do ai rag jobs pay per year?

As of Aug 6, 2026, the average yearly pay for ai rag in Springfield, MA is $58,042.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,800.00 and $64,800.00 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 Springfield, MA look for? The top searched job categories for Ai Rag jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Ai Rag jobs? Cities near Springfield, MA with the most Ai Rag job openings:
Infographic showing various Ai Rag job openings in Springfield, MA as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 60% Physical, 2% Hybrid, and 38% Remote job distribution, with an average salary of $58,042 per year, or $27.9 per hour.

AI Engineer

Infosys

Hartford, CT • On-site

Full-time

Re-posted 20 days ago


Infosys rating

7.0

Company rating: 7.0 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

149th of 221 rated it services


Job description

Job Summary:
Infosys is a global leader in next-generation digital services and consulting, specializing in transforming data into actionable insights. The role of AI Engineer involves developing and operationalizing machine learning models, ensuring data quality, and collaborating with business and technology teams to create analytics solutions.
Responsibilities:
• Participate in data extraction, transformation, and preparation.
• Resolve common data issues and ensure quality for model development.
• Participate in developing models using statistical or machine learning techniques and collaborate with technology teams to operationalize them into analytics tools or scripts.
• Participate in model testing and validation, selecting the best-performing algorithms based on statistical and business metrics.
• Participate in the development of advanced analytics and machine learning or deep learning models including LLMs using predefined processes and tools like SAS and R/ Python.
• Participate in defining analytics problems; execute visualization, analysis, and predictive modeling with senior support.
• Identify data sources and extract from RDBMS and develop UI/UX for client usage.
• Participate in model performance, while making minor adjustments, and escalate risks or compliance concerns and generate reports on deviations or schedule slippages.
• Proactively participate in detailed documentation of model development, testing, and deployment activities for reproducibility.
• Work closely with business and technology teams to translate requirements into actionable models, while communicating results effectively.
• Apply predefined quality measurement frameworks, if any, to individual project tasks.
• Participate in deploying analytics tools in test and production environment, while ensuring they meet operational requirements.
Qualifications:
Required:
• Strong programming skills in Python
• Hands-on experience with AI/ML frameworks: TensorFlow, PyTorch, LangChain
• Expertise In Generative AI, Including RAG (Retrieval-Augmented Generation), AI Agents / Agentic frameworks, Prompt Engineering
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Preferred:
• Experience in Data Engineering & pipelines (ETL/ELT, streaming, batch processing)
• Proficiency with Microsoft Azure AI ecosystem
• Experience with Databricks (Lakehouse, ML workflows)
• Strong understanding of Snowflake and Data Cloud architectures
• Knowledge of Conversational AI architecture and NLP systems
• Familiarity with CI/CD and MLOps practices
Company:
Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program management, and software services. Founded in 1981, the company is headquartered in Bangalore, IND, with a team of 10001+ employees. The company is currently Late Stage.

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