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Llm Training Jobs in Springfield, MA (NOW HIRING)

CVS Health

AI/LLM Engineer

Hartford, CT · On-site

$101K - $203K/yr

Machine learning concepts (training, evaluation, overfitting, bias) * Practical experience with ... Experience with LLM platforms such as OpenAI, Anthropic, Google Vertex AI, or similar.

Infosys Limited Digital

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

... LLM models, and proofs of concepts. • Participate in and deliver analytics training, while contributing to content creation. • Provide input for segment and unit-level business plans. Your ...

Bespoke Labs

Machine Learning Engineer

Springfield, MA · On-site

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

Bespoke Labs

Machine Learning Engineer

Hartford, CT · On-site

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

Deloitte

Senior Forward Deployed Engineer- AWS

Hartford, CT · On-site

$105K - $144K/yr

... and deploying GenAI/LLM-powered solutions in client or production environments 1+ years of ... and training; licensure and certifications; and other business and organizational needs. The ...

Deloitte

Forward Deployed Engineer- AWS

Hartford, CT · On-site

Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event ... and training; licensure and certifications; and other business and organizational needs. The ...

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Llm Training information

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$31.9K

$68.4K

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How much do llm training jobs pay per year?

As of Jul 29, 2026, the average yearly pay for llm training in Springfield, MA is $68,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,800.00 and $84,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Llm Training position, and why are they important?

To excel in LLM Training, you need a strong background in machine learning, natural language processing (NLP), and computer science, often backed by an advanced degree in a related field. Experience with programming languages such as Python, frameworks like PyTorch or TensorFlow, and familiarity with data annotation tools are essential, along with knowledge of cloud platforms and distributed computing. Strong analytical thinking, effective communication, and the ability to collaborate across interdisciplinary teams set top candidates apart. These skills ensure high-quality model development, efficient project execution, and the ability to adapt to evolving AI technologies.

What types of teams or professionals does an LLM Training specialist typically collaborate with?

Professionals specializing in LLM Training often work closely with data engineers, software developers, domain experts, product managers, and quality assurance analysts. Collaboration is essential for collecting and preprocessing training data, integrating models into products, and ensuring outputs meet business and user requirements. These roles frequently participate in agile project workflows, contribute to cross-functional team meetings, and collaborate on continuous model improvements. Engaging with diverse teams expands your understanding of product goals and helps you deliver robust and reliable language models that align with organizational objectives.

What is an LLM Training job?

An LLM Training job involves developing, fine-tuning, and optimizing large language models (LLMs) to improve their performance and accuracy. This role typically includes data collection, preprocessing, model training, evaluation, and troubleshooting issues related to bias, efficiency, and scalability. Professionals in this field work with machine learning frameworks, large datasets, and computational resources to enhance AI capabilities. They may also collaborate with researchers, engineers, and product teams to deploy models for real-world applications.

What are the most commonly searched types of Llm Training jobs in Springfield, MA? The most popular types of Llm Training jobs in Springfield, MA are:
What are popular job titles related to Llm Training jobs in Springfield, MA? For Llm Training jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Llm Training jobs in Springfield, MA look for? The top searched job categories for Llm Training jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Llm Training jobs? Cities near Springfield, MA with the most Llm Training job openings:
Llm Training jobs near you
Infographic showing various Llm Training job openings in Springfield, MA as of July 2026, with employment types broken down into 27% As Needed, 49% Full Time, 5% Part Time, 1% Temporary, 17% Nights, and 1% Summer. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $68,442 per year, or $32.9 per hour.
AI/LLM Engineer

AI/LLM Engineer

CVS Health

Hartford, CT • On-site

$101K - $203K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,320 frontline employees who took The Breakroom Quiz

87th of 109 rated pharmacies

Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

We are seeking an experienced AI / LLM Engineer to design, develop, and operationalize advanced language model-powered applications for enterprise use cases. This role will focus on building text-based reasoning systems, Retrieval-Augmented Generation (RAG) pipelines, and scalable prompt engineering frameworks that enhance decision-making, automation, and knowledge discovery across the organization.

As a key member of a cross-functional team, you will collaborate with business stakeholders to translate business requirements into reliable, explainable, and production-ready AI solutions. You will play a critical role in shaping enterprise AI capabilities by ensuring solutions are secure, responsible, and optimized for real-world performance.

  • Design and implement LLM-powered applications that support complex, text-based reasoning and decision workflows.
  • Develop and refine chain-of-thought-style reasoning approaches and structured prompt patterns to improve model accuracy and interpretability.
  • Architect and build Retrieval-Augmented Generation (RAG) systems leveraging embeddings, vector search, and hybrid retrieval strategies.
  • Create, evaluate, and optimize prompt engineering frameworks, including reusable templates, prompt libraries, and testing methodologies.
  • Implement monitoring, logging, and feedback loops for continuous improvement of AI systems.
  • Ensure compliance with security, governance, and Responsible AI principles.
  • Partner with product and analytics teams to rapidly prototype and iterate AI-driven features.

Tools & Technologies

  • Programming: Python (primary), SQL

  • LLM Platforms: OpenAI, Anthropic, Google Vertex AI
  • Frameworks: LangChain, LlamaIndex, Semantic Kernel
  • Vector Databases: Pinecone, Weaviate, FAISS, MongoDB Atlas Vector Search
  • Data Processing: Spark, Pandas
  • APIs & Services: FastAPI, Flask, REST/gRPC
  • Cloud Platforms: AWS, Azure, Google Cloud Platform (GCP)
  • DevOps & MLOps: Docker, Kubernetes, CI/CD tools
  • Monitoring & Evaluation: Prompt evaluation tools, logging frameworks, observability platforms

Essential Qualifications and Functions:

  • 5+ years expereince
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
  • Strong programming experience in Python and familiarity with software engineering best practices.
  • Hands-on experience building production-grade AI/ML systems, not just prototypes.
  • Experience working with Large Language Models (LLMs) and APIs.
  • Solid understanding of:
    • Natural Language Processing (NLP) fundamentals
    • Machine learning concepts (training, evaluation, overfitting, bias)
  • Practical experience with:
    • Retrieval-Augmented Generation (RAG) systems
    • Prompt engineering and prompt optimization
    • Embeddings and vector search
  • Experience designing and implementing APIs, microservices, or distributed systems.
  • Familiarity with model evaluation techniques and performance metrics.
  • Strong debugging and problem-solving skills in complex systems.

Preferred Qualifications:

  • Experience with LLM platforms such as OpenAI, Anthropic, Google Vertex AI, or similar.
  • Familiarity with orchestration frameworks like LangChain, LlamaIndex, Semantic Kernel, or equivalent.
  • Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, MongoDB Atlas Vector Search).
  • Knowledge of MLOps practices, including CI/CD pipelines for AI systems.
  • Experience deploying solutions in cloud environments (e.g., AWS, Azure, GCP).
  • Exposure to agent-based architectures or multi-step AI workflows.
  • Experience in financial services enterprise environments (or similar data-intensive industries).
  • Experience with evaluation frameworks and benchmarking for LLMs.

This role does not support sponsorship at this time

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$101,970.00 - $203,940.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/31/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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