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Entry Level Retrieval Augmented Generation Jobs in Boston, MA

Winaxis

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and ...

Holland & Knight

AI Legal Engineer

Boston, MA · On-site

Demonstrated ability to design and build AI-enabled workflows in legal or professional-services settings, including prompt engineering, retrieval-augmented generation (RAG) concepts, and evaluation ...

The Brattle Group

Data and AI Engineer

Boston, MA

$124K - $149K/yr

Contribute to workflows involving text extraction, classification, summarization, embeddings, retrieval-augmented generation, model evaluation, automation, visualization, or rapid prototyping * Use ...

Philips

AI Solutions Engineer

Cambridge, MA · On-site

$107K - $170K/yr

Design, develop, and deploy enterprise AI solutions from concept through production, leveraging large language models (LLMs), AI agents, prompt engineering, and Retrieval-Augmented Generation (RAG)

The Brattle Group

Data and AI Engineer

Boston, MA · On-site

$124K - $149K/yr

Contribute to workflows involving text extraction, classification, summarization, embeddings, retrieval-augmented generation, model evaluation, automation, visualization, or rapid prototyping * Use ...

QinetiQ

Associate Quality Engineer

Sudbury, MA · On-site

$64K - $95K/yr

Company Overview We are a world-class team of professionals who deliver next generation technology ... Position Overview QinetiQ Inc. is looking to hire an entry-level Quality Assurance Engineer to work ...

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Entry Level Retrieval Augmented Generation information

What is an entry level retrieval augmented generation job?

Entry level retrieval augmented generation jobs involve assisting in the development and optimization of AI systems that combine information retrieval techniques with generative models. Employees in these roles typically help build, test, and maintain systems where AI retrieves relevant data from large databases to enhance the accuracy and relevance of generated responses. These positions often require basic skills in programming, machine learning, and familiarity with natural language processing. They are ideal for recent graduates or those new to AI, offering opportunities to learn about modern AI architectures and contribute to innovative projects. Entry level workers may work under the guidance of senior engineers or researchers, supporting experimentation and evaluation tasks.

What are the key skills and qualifications needed to thrive as an entry level retrieval augmented generation specialist?

To thrive as an Entry Level Retrieval Augmented Generation Specialist, you need a foundational understanding of natural language processing (NLP), information retrieval, and basic programming skills, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, vector databases (like FAISS or Pinecone), and frameworks for large language models (LLMs) is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate and troubleshoot solutions in team environments. These skills and qualities are crucial for building reliable RAG systems that deliver accurate and relevant information to users.

What is the difference between Entry Level Retrieval Augmented Generation vs Entry Level Data Scientist?

AspectEntry Level Retrieval Augmented GenerationEntry Level Data Scientist
Required CredentialsBasic programming, understanding of NLP and AI conceptsBachelor's in Data Science, Computer Science, or related field
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Industry UsageAI development, NLP applications, chatbot creationData analysis, predictive modeling, data-driven decision making

Entry Level Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with generative AI, requiring knowledge of NLP and programming. Entry Level Data Scientist involves analyzing data, building models, and deriving insights, often with a broader data analysis skill set. While both roles require technical skills, Retrieval Augmented Generation is more specialized in AI model development, whereas Data Scientists work across various data projects.

What are some common challenges faced by entry-level professionals working in retrieval augmented generation roles?

Entry-level professionals in Retrieval Augmented Generation (RAG) often encounter challenges such as understanding how to effectively combine information retrieval systems with large language models and adapting to rapidly evolving technologies. Balancing accuracy and efficiency when designing or fine-tuning retrieval pipelines can also be a learning curve. Additionally, you may need to collaborate closely with data engineers, machine learning specialists, and product teams to ensure the RAG system aligns with business requirements. Staying proactive in learning and engaging with peers can help overcome these challenges and accelerate career growth.
What are popular job titles related to Entry Level Retrieval Augmented Generation jobs in Boston, MA? For Entry Level Retrieval Augmented Generation jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Entry Level Retrieval Augmented Generation jobs in Boston, MA look for? The top searched job categories for Entry Level Retrieval Augmented Generation jobs in Boston, MA are:
Entry Level Retrieval Augmented Generation jobs near you
Infographic showing various Entry Level Retrieval Augmented Generation job openings in Boston, MA as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 94% In-person, and 6% Remote job distribution.

AI/ML Engineer

Winaxis

Boston, MA • On-site

$124K - $149K/yr

Full-time

Re-posted 5 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)