Overview
Inabia is seeking an AI Engineer to design, build, and deploy advanced large language model solutions and retrieval-augmented generation (RAG) pipelines integrated into enterprise cloud environments. This role demands deep hands-on expertise in leading LLM frameworks alongside the communication skills necessary to translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders. Candidates with manufacturing domain experience are strongly encouraged to apply.
Responsibilities
- Architect end-to-end RAG pipelines leveraging Hugging Face, LangChain, and OpenAI API to solve enterprise-scale challenges.
- Integrate generative AI capabilities into existing enterprise cloud environments and data infrastructure.
- Develop, fine-tune, and evaluate large language models for domain-specific use cases.
- Write production-quality code in Python, R, and SQL to support data ingestion, model serving, and analytics workflows.
- Translate complex model outputs and analytical findings into clear, actionable recommendations for operational and executive stakeholders.
- Collaborate cross-functionally with engineering, operations, and leadership teams to identify and prioritize high-impact AI use cases.
- Monitor model performance, troubleshoot issues, and continuously improve pipeline reliability and accuracy.
- Document architectures, methodologies, and outcomes to support knowledge transfer and reproducibility.
Key Qualifications
- 5+ years of experience as an AI/ML Engineer (exceptional candidates with more experience are equally welcome).
- Hands-on proficiency with LLM/AI frameworks: Hugging Face, LangChain, and OpenAI API.
- Demonstrated experience architecting and deploying RAG pipelines in production environments.
- Strong programming skills in Python, R, and SQL.
- Proven ability to communicate technical concepts and model results to non-technical operations and executive audiences.
- Experience integrating AI solutions into enterprise cloud platforms.
Preferred Qualifications
- 2–4 years of experience working in a manufacturing domain.
- Familiarity with shop floor operations, production planning, and systems such as MES, SCADA, and ERP.
- Proficiency in industrial communication protocols (OPC-UA, MQTT, Modbus) with demonstrated ability to bridge OT/IT systems for real-time data extraction.
- Applied experience with OEE, Six Sigma, SPC, and lean manufacturing methodologies to drive measurable improvements in yield, uptime, and operational efficiency.
Skills Required
- 5+ years of experience as an AI/ML Engineer
- Hands-on proficiency with Hugging Face, LangChain, and OpenAI API
- Demonstrated experience architecting and deploying RAG pipelines in production
- Strong programming skills in Python, R, and SQL
- Experience integrating AI solutions into enterprise cloud platforms
- Ability to communicate technical concepts and model results to non-technical operations and executive audiences
- Develop, fine-tune, and evaluate large language models for domain-specific use cases
- 2-4 years of manufacturing domain experience
- Familiarity with MES, SCADA, and ERP systems
- Proficiency in OPC-UA, MQTT, Modbus to bridge OT/IT systems
- Applied experience with OEE, Six Sigma, SPC, and lean manufacturing methodologies
What We Do
WHO Founded in 2006 and headquartered in Redmond, WA. Our Senior Leadership team has more than 137 years of combined experience in the Telecommunications and Software Industry. Inabia is built on family values and close-knit culture. This commitment extends to the relationships we build with both our employees and our business partnerships. As a Minority Certified business, we strive to positively impact society through technology, people, and innovation. WHAT For over a decade, we have been providing powerful IT and business solutions to individuals and businesses alike. Here at Inabia, we believe that our success reflects our clients’ success. HOW We are fortunate to be situated in a city where technology and innovation is not only appreciated; but part of day to day lives. We are a growing company that has adapted and evolved our approach, helping us to exceed the ever-changing needs and requirements of our clients. WHY We are a company that fosters and values relationships, as a result many of our clients have been with us from the start of our journey. We ensure that our partners have access to best-in-class professional support, management consulting and staffing services. We make sure our consultants are carefully screened and selected based on their experience. This process ensures that we meet or exceed the specific needs of our clients.
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