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Genai Engineer Jobs in Maine (NOW HIRING)

Integrate GenAI capabilities into existing applications and workflows Web & Technology Stack * Work ... Ability to code in at least one modern programming language (language-agnostic mindset)

Genai Engineer information

What is a GenAI engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What are the key skills and qualifications needed to thrive as a GenAI engineer, and why are they important?

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.

What are some typical challenges a GenAI engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

What are popular job titles related to Genai Engineer jobs in Maine?

For Genai Engineer jobs in Maine, the most frequently searched job titles are:

What job categories do people searching Genai Engineer jobs in Maine look for?

The top searched job categories for Genai Engineer jobs in Maine are:

Infographic showing various Genai Engineer job openings in Maine as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Full-time

Re-posted 12 days ago


SS&C Technologies rating

7.7

Company rating: 7.7 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

149th of 247 rated software companies


Job description

SS&C is a leading provider of mission-critical, AI-powered technology and services empowering financial services and healthcare organizations to work smarter, faster, and securely. Founded in 1986, SS&C is headquartered in Windsor, Connecticut, and has offices worldwide. More than 23,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology.
Job Description
About SS&C Technologies
SS&C is a global provider of investment, financial services and software for the financial services and healthcare industries. Named to Fortune 1000 list as top U.S. company based on revenue, SS&C is headquartered in Windsor, Connecticut and has 20,000+ employees in over 90 offices in 35 countries. Some 18,000 financial services and healthcare organizations, from the world's largest institutions to local firms, manage and account for their investments using SS&C's products and services.
SS&C Blue Prism allows organizations to deliver transformational business value via our intelligent automation platform. We make products with one aim in mind - to improve experiences for people. By connecting people and digital workers you can use the right resource, every time, for the best customer and business outcomes. We supply enterprise-wide software that not only provides full control and governance, but also allows businesses to react fast to continuous change.
Role Summary
We are looking for a Generative AI Developer who can build end-to-end, production-grade applications using Generative AI. The ideal candidate is a strong technologist with experience across web applications, data analysis, and automation, and who understands that GenAI development is as much about language, data, and business context as it is about code.
This role focuses on building solutions using internal / private LLMs, emphasizing security, reliability, and enterprise integration over public API experimentation.
Key Responsibilities
Generative AI & Prompt Engineering
  • Design, develop, and optimize applications leveraging internal LLM platforms
  • Create, test, and maintain high-quality prompts to drive accurate and predictable outputs
  • Apply advanced prompting techniques including:
  • Few-shot prompting
  • Prompt chaining
  • RAG (Retrieval-Augmented Generation)
  • Establish prompt evaluation and versioning practices

End-to-End Application Development
  • Build full-stack, end-to-end GenAI applications
  • Design and implement backend services integrating LLMs with enterprise systems
  • Develop or collaborate on web-based user interfaces
  • Integrate GenAI capabilities into existing applications and workflows

Web & Technology Stack
  • Work with modern web technologies, such as:
  • REST APIs
  • Web frameworks (React, Angular, Vue, or equivalent)
  • Backend services (Node.js, Java, Python, .NET, etc.)
  • Understand client-server architecture and web security fundamentals
  • Build scalable, maintainable application architectures

Data, Analysis & Automation
  • Analyze structured and unstructured data for GenAI use cases
  • Translate business requirements into LLM-driven workflows
  • Perform data validation, transformation, and analysis to support AI pipelines
  • Collaborate with automation teams; experience with Blue Prism is a plus

Enterprise & Governance
  • Build solutions aligned with enterprise security, compliance, and governance standards
  • Work with private/internal LLMs, ensuring data privacy and controlled usage
  • Document design decisions, prompts, and system behavior clearly

Required Skills & Qualifications
Core Requirements
  • 2-3 years experience building GenAI / LLM-based applications
  • 1-3 years hands-on experience with prompt engineering
  • Strong written English skills (critical for prompt design and documentation)
  • Data analysis or business analysis experience (2-3 years)
  • Ability to code in at least one modern programming language (language-agnostic mindset)
  • Experience building end-to-end applications, not just models or scripts

Technical Skills
  • Experience with:
  • Internal / private LLM platforms
  • RAG architectures and vector search
  • APIs and service-oriented architecture
  • Solid understanding of:
  • LLM limitations (hallucinations, bias, drift)
  • Evaluation and validation of model outputs
  • Cost, latency, and performance trade-offs

Preferred / Nice-to-Have Skills
  • Blue Prism RPA experience
  • Experience with enterprise web applications
  • Familiarity with LLMOps / MLOps concepts
  • Knowledge of document-heavy domains (contracts, agreements, reports)
  • Experience working in regulated or enterprise environments

Mindset & Attributes
  • Strong analytical and problem-solving skills
  • Comfortable working across language, data, and code
  • Business-focused with an outcome-driven mindset
  • Able to explain GenAI behavior to technical and non-technical audiences

Why Join Us
  • Build real, production-grade GenAI applications
  • Work with secure, internal LLM platforms
  • Influence how GenAI is adopted responsibly at scale
  • Be part of an end-to-end engineering team, not a siloed AI lab

EEO Statement / Non-agency Disclosure
We encourage applications from people of all backgrounds and particularly welcome applications from under-represented groups, to enable us to bring a diversity of perspectives to our thinking and conversation. It's important to us that we strive to have a workforce that is diverse in the widest sense.
Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.
Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.
Applications will be accepted on an ongoing basis until the position is filled.
SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race, color, religious creed, gender, age, marital status, sexual orientation, national origin, disability, veteran status or any other classification protected by applicable discrimination laws.

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About SS&C Technologies

Sourced by ZipRecruiter

SS&C Technologies is a prominent player in the software and IT services industry, specializing in investment and financial technologies. The company is headquartered in Windsor, Connecticut, USA, with the core mission to deliver advanced technology-driven solutions and software for the global financial services industry. SS&C Technologies was established in 1986, and since its inception, the company has grown immensely to offer a comprehensive portfolio of services that include fund administration, securities industry software, insurance and pension funds software, asset management, and trading and settlement services.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Windsor, CT, US

Year founded

1986