Contract to Hire GenAI Engineer - Hybrid Onsite - BOSTON

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Please send current resumes directly to

Bhagyashree Yewle, Lead Recruiter - YOH SPG

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Contract to Hire - Hybrid Onsite // GenAI Engineer (LLMs and related AI frameworks like e.g., LangChain, Vector Databases, RAG)

LOCATION: Boston, MA - hybrid schedule

NOTE: Not looking for a Data Scientist or someone that has just done prompt engineering, seeking a solid AI Engineer with 2-3 AI powered projects under their belt and can use GenAI capabilities with existing data sets, someone that can hit the ground running.

Role Summary: Seeking an experienced GenAI Engineer to integrate LLM APIs, build AI-driven applications, optimize model performance, and deploy AI services at scale. The ideal candidate has expertise in Python-based AI development, LLM orchestration, cloud deployment, and enterprise AI integration.

Responsibilities
• Solution Design & Development: Design, develop, and maintain AI-powered applications that integrate existing LLMs with internal systems to automate workflows and optimize processes.
• API Integration: Develop APIs and data pipelines to seamlessly connect LLMs with internal and external systems, ensuring secure and scalable data exchange.
• LLM Optimization: Optimize LLM API interactions using prompt engineering, retrieval-augmented generation (RAG), context management, and performance tuning.
• Platform Evaluation: Assess and compare LLM platforms and tools (e.g., OpenAI, Anthropic, Google) to select the best fit for business needs and technical scalability.
• Collaboration & Requirements Gathering: Partner with product managers, engineers, and stakeholders to define AI-driven solutions that align with business objectives.
• Testing & Monitoring: Implement robust testing and monitoring strategies to ensure performance, reliability, and security of LLM-powered applications.
• Best Practices & Documentation: Contribute to organizational AI best practices, including guidelines on LLM utilization and maintaining well-documented AI solutions.
• Troubleshooting & Issue Resolution: Identify and resolve LLM integration issues, performance bottlenecks, and data pipeline inconsistencies.
• Continuous Learning: Research and apply emerging LLM advancements, best practices, and industry trends to enhance AI-powered applications.
• Code Review & Quality Assurance: Participate in code reviews, ensuring high-quality, maintainable, and well-documented codebases.

Qualifications
• 6-10+ years of experience and a bachelor's degree in Computer Science, Engineering, or related field.
• Proven experience in software development, with strong object-oriented programming and design principles.
• Experience working with LLMs and related AI frameworks (e.g., LangChain, Vector Databases, RAG).
• Proficiency in at least one programming language (e.g., Python, Java, JavaScript).
• Experience with API development and integration (RESTful APIs, GraphQL, cloud-based services).
• Experience deploying AI solutions in cloud environments (AWS, Azure, Google Cloud Platform, Kubernetes, Serverless).
• Strong problem-solving and analytical skills.
• Excellent communication and cross-functional collaboration skills.
• Passion for AI innovation and automation.

Estimated Min Rate: $70.00/H on W2

Estimated Max Rate: $100.00/H on W2

Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.

Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Visit to contact us if you are an individual with a disability and require accommodation in the application process.

For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.