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Senior AI Engineer
Job Location:
Job Location:
Summit, WA - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
20 September 2026 (Yesterday)
Posted:
Application Deadline:
18 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
At Staffworxs we dont just connect talent we power transformation. Headquartered in Frisco TX with teams in Bengaluru and Hyderabad we combine global reach with deep expertise. Our Digital & Data Analytics practice drives growth and innovation for some of the worlds top brands who continue to retain us as their trusted partner. If youre ready to make an impact youre in the right place.
Job Details:
Job Title: Senior AI Engineer
Location: Summit NJ (Hybrid 2 days a week)
Duration: 12 months Contract
Role Summary
We are looking for a Senior AI Engineer to design build and run production AI solutions including AI agents retrieval-augmented generation (RAG) and LLM-powered automation. You will take use cases from discovery to production making sure solutions are reliable secure and cost-effective.
Key Responsibilities
Python SQL LLM APIs agent frameworks MCP vector databases Snowflake/Databricks dbt Airflow AWS/Azure/GCP Docker Terraform GitHub Actions Datadog
Staffworxs is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees regardless of race color religion gender sexual orientation national origin age disability or veteran status.
Job Details:
Job Title: Senior AI Engineer
Location: Summit NJ (Hybrid 2 days a week)
Duration: 12 months Contract
Role Summary
We are looking for a Senior AI Engineer to design build and run production AI solutions including AI agents retrieval-augmented generation (RAG) and LLM-powered automation. You will take use cases from discovery to production making sure solutions are reliable secure and cost-effective.
Key Responsibilities
- Design and build AI agents and multi-step agentic workflows that automate business processes.
- Integrate LLMs with internal systems and data through APIs and MCP (Model Context Protocol).
- Build RAG vector search and embedding pipelines over documents and knowledge bases.
- Develop document processing pipelines to extract and validate structured data.
- Implement output validation evaluation frameworks and human-in-the-loop review.
- Build AI observability covering quality latency failure rates and cost with alerting.
- Work with data engineering teams on AI-ready data pipelines and models.
- Enforce data security privacy and PII handling across AI solutions.
- Own CI/CD infrastructure-as-code and deployment of AI services.
- Work with business stakeholders to scope use cases and define success metrics.
- Write architecture decision records review code and mentor engineers.
- 8 years in software data or ML engineering including 2 years delivering LLM or GenAI solutions to production.
- Strong Python and SQL skills.
- Hands-on experience with LLM APIs (OpenAI Anthropic Azure OpenAI) prompt engineering and structured outputs.
- Proven experience with RAG vector databases and embeddings.
- Experience building AI agents or agentic workflows.
- Solid data engineering background with a cloud data platform (Snowflake Databricks or similar) orchestration (Airflow or similar) and dbt.
- Production experience on AWS Azure or GCP with Docker CI/CD and Terraform.
- Understanding of data security privacy and governance.
- Strong communication skills with both technical and non-technical audiences.
- Experience building MCP servers or gateways.
- Intelligent document processing or OCR experience.
- MLOps experience including feature stores model deployment and GPU inference.
- Experience with AI evaluation observability and cost optimization.
- Background in financial services or another regulated industry.
- Masters degree in Computer Science AI or a related field.
- Cloud or data platform certifications (AWS ML Snowflake Azure AI).
- Regular use of AI-assisted development tools such as Claude Code or GitHub Copilot.
Python SQL LLM APIs agent frameworks MCP vector databases Snowflake/Databricks dbt Airflow AWS/Azure/GCP Docker Terraform GitHub Actions Datadog
Staffworxs is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees regardless of race color religion gender sexual orientation national origin age disability or veteran status.
Required Experience:
Senior IC
