AI Engineer

Software Guidance & Assistance, Inc., (SGA) is searching for an experienced AI Engineer for a contract assignment with one of our premier Insurance clients in Hartford, CT to design, develop, and deploy AI solutions into production. The ideal candidate will have strong software engineering skills, hands-on experience implementing AI and machine learning solutions, and the ability to take solutions from concept through deployment within the client's Google Cloud Platform (Google Cloud Platform) environment.
This individual will bring practical AI expertise to the team, helping build scalable, production-ready solutions that address business needs. Experience with generative AI, large language models (LLMs), and agentic AI is highly desirable.
Key Responsibilities

• Design, develop, and implement AI solutions aligned with business and technical requirements.
• Build, integrate, and deploy AI applications and services using Python and relevant AI/ML technologies.
• Deploy and maintain AI solutions within Google Cloud Platform, ensuring scalability, reliability, and production readiness.
• Develop and maintain CI/CD pipelines to automate testing, integration, and deployment.
• Apply MLOps/LLMOps best practices for deployment, monitoring, evaluation, and lifecycle management.
• Integrate AI capabilities into existing enterprise applications, systems, and workflows.
• Collaborate with technical teams to identify AI opportunities and deliver practical, production-ready solutions.

Required Qualifications

• Extensive hands-on experience developing and deploying AI solutions into production environments.
• Strong Python development skills and solid software engineering fundamentals.
• Experience deploying applications and AI solutions within Google Cloud Platform (Google Cloud Platform).
• Strong experience with CI/CD pipelines and MLOps practices.
• Experience with Java development and enterprise application integration.
• Ability to troubleshoot, optimize, and support production applications.

Preferred Qualifications

• Experience with generative AI, LLMs, prompt engineering, and retrieval-augmented generation (RAG).
• Familiarity with agentic AI, AI agents, and workflow orchestration.
• Experience with LLMOps, model monitoring, evaluation, and AI application optimization.
• Familiarity with cloud-native development, APIs, containers, and automated deployment tools.

By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations.
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.