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Staff Engineer Conversational AI

inSync Staffing

Woonsocket, RI

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JOB DETAILS
SKILLS
A/B Testing, Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Best Practices, Cloud Computing, Code Reviews, Communication Skills, Computer Science, Conversation Engine, Cross-Functional, Customer Relations, Data Science, Dental Insurance, GCP (Good Clinical Practices), Genesys Solutions, Java, JavaScript, LEX (LEXical analyzer), Mentoring, Microservices, Microsoft C# (C Sharp), Microsoft Windows Azure, Modeling Languages, Natural Language Processing (NLP), Product Design, Production Systems, Python Programming/Scripting Language, SQL (Structured Query Language), Software Design, Software Engineering, Team Lead/Manager, Technical Leadership, Technical Strategy, Technical/Engineering Design, Testability, Voice Chat, Voice Response Systems
LOCATION
Woonsocket, RI
POSTED
2 days ago
We are looking for a highly skilled Staff Engineer to help build the next generation of conversational AI experiences across voice and chat. As a senior individual contributor and technical leader, you will design and deliver production-grade systems that power member, patient, and customer interactions.

You'll partner closely with product, design, data science, and other engineering teams to translate business needs into reliable, performant software. You'll set the technical direction for major components of our conversational AI platform, lead hands-on design and implementation of complex features, and elevate the engineering practices of those around you.

If you are passionate about conversational AI and have a proven track record of leading successful engineering teams in a fast-paced environment, we would love to hear from you.

As a Staff Engineer, you will:
  • Lead the technical design and implementation of major components of our conversational AI platform (chat and voice)
  • Own end-to-end delivery of complex features — from design through deployment, monitoring, and iteration
  • Drive engineering excellence in code quality, testability, performance, scalability, and observability
  • Perform deep design and code reviews; raise the technical bar across the team
  • Integrate and evaluate Large Language Models, NLU/NLP engines, and STT/TTS components into production pipelines
  • Partner with data scientists and ML engineers to operationalize models, evaluation frameworks, and guardrails
  • Collaborate with cross-functional partners to translate ambiguous business requirements into clear technical solutions
  • Help deploy, operate, and maintain large-scale software in production with strong operational discipline
  • Mentor mid-level and senior engineers on advanced technical topics and best practices
  • Contribute to the long-term technical strategy alongside Principal Engineers and architects
 
Required Qualifications
  • 8+ years of experience designing and building software engineering solutions in cloud environments (GCP, AWS, or Azure)
  • 8+ years of experience in one or more modern languages, such as Python, Java, C#, JavaScript, SQL, etc.
  • 8+ years of experience with APIs, microservices, and modern software patterns
  • 3+ years of experience working with cross-functional stakeholders on complex requirements
  • Solid working knowledge of conversational AI technologies (e.g., chatbots, voice assistants, LLMs, STT/TTS, NLU/NLP engines)
 
Preferred Qualifications
  • Hands-on experience integrating Large Language Models (LLMs) into production applications, including prompt engineering, RAG, and evaluation
  • Experience developing and supporting voice and text chatbots, including dialog design at scale
  • Experience with conversational AI platforms (e.g., Dialogflow, Lex, Rasa, Genesys, NICE, Twilio) and CCaaS/IVR Integrations
  • Familiarity with LLM evaluation, guardrails, observability, and A/B testing of dialog flows
  • Strong communication skills, capable of explaining technical concepts to both engineering and business audiences
  • Advanced degree (Master's or PhD) in Computer Science, Engineering, AI, or a related field
 
Education
Bachelor's degree from an accredited university or equivalent work experience.
 


Benefits (employee contribution):
  • Health insurance
  • Health savings account
  • Dental insurance
  • Vision insurance
  • Flexible spending accounts
  • Life insurance
  • Retirement plan

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Rate of pay within the stated range will depend on the qualification of the applicant.

About the Company

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inSync Staffing

We recognize the VMS program management team is our customer and needs to be serviced with integrity, so we built and continue to improve upon our delivery methods as we strive to provide the highest quality service possible. inSync Staffing’s management team recognized ten years ago the inevitable changes to the staffing industry being brought about by technology and the growing trend of Fortune 1000 corporations to outsource management of their contingent workforces to meet compliance and cost control goals. Rather than swim upstream against the changes, inSync Staffing has embraced MSP and VMS programs as our customers, not competitors. We asked program managers how they want to be serviced. The result of their input is that we have structured inSync Staffing as a recruiting and customer service organization, unlike traditional staffing companies who sell directly to the end client. Our delivery model allows us concentrates our resources on how to best supply candidates in a very competitive MSP/VMS program environment.
COMPANY SIZE
50 to 99 employees
INDUSTRY
Staffing/Employment Agencies
FOUNDED
2014
WEBSITE
http://www.insyncstaffing.com/default.html

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