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Contract Generative Ai Engineer Jobs in Springfield, MA

This Senior AI Engineer will be instrumental to design, develop, and lead enterprise-grade Generative AI solutions. This role requires deep hands-on expertise in Python, Large Language Models (LLMs ...

AI Engineer

Springfield, MA · Hybrid

$141K - $185K/yr

AI Engineer | Data Science & AI Engineering Full-Time Hybrid (3 days/per week in office) The ... You'll apply machine learning, generative and agentic AI, and LLM-based techniques to real-world ...

Lead AI Engineer

Springfield, MA · On-site

$172K - $225K/yr

You'll architect and deliver generative AI, agentic AI, and LLM-based systems by applying rigorous ... This team is defined by a shared commitment to scientific and engineering excellence, meaningful ...

AI Engineer Location: Remote (US only) Must be authorized to work in the US and obtain a Public ... You will also help shape how the organization adopts generative AI responsibly across an active ...

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

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

Senior Staff Software Engineer - IE07HE We're determined to make a difference and are proud to be ... This role will focus on building agentic AI systems, generative AI workflows, and scalable data ...

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps ... Responsibilities Research, experiment with, and implement suitable Generative and ML algorithms ...

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Contract Generative Ai Engineer information

See Springfield, MA salary details

$37.9K

$115.5K

$190.8K

How much do contract generative ai engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for contract generative ai engineer in Springfield, MA is $115,459.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,700.00 and $151,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Generative Ai Engineer jobs in Springfield, MA? The most popular types of Generative Ai Engineer jobs in Springfield, MA are:
What are popular job titles related to Contract Generative Ai Engineer jobs in Springfield, MA? For Contract Generative Ai Engineer jobs in Springfield, MA, the most frequently searched job titles are:
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What cities near Springfield, MA are hiring for Contract Generative Ai Engineer jobs? Cities near Springfield, MA with the most Contract Generative Ai Engineer job openings:
Infographic showing various Contract Generative Ai Engineer job openings in Springfield, MA as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $115,459 per year, or $55.5 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Springfield, MA • On-site

Other

Posted 22 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.