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AI Engineer II III
Job Location:
Job Location:
Morrisville, NC - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
29 September 2026 (Yesterday)
Posted:
Application Deadline:
27 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Kriya is a biopharmaceutical company whose mission is to develop life-changing gene therapies for diseases affecting millions of patients around the world.
We leverage our proprietary computational engine in-house manufacturing infrastructure and integrated design platform to engineer technologies and therapeutics with the potential to transform the treatment of a broad universe of diseases of high unmet need with a focus on metabolic disorders neurology and ophthalmology.
We are proud to have been named Triangle Business Journals Life Sciences 2024 Best Private Company to Work For recognized by Forbes as one of Americas Best Startup Employers of 2024 and honored as one of BioSpaces 2025 Best Places to Work.
We leverage our proprietary computational engine in-house manufacturing infrastructure and integrated design platform to engineer technologies and therapeutics with the potential to transform the treatment of a broad universe of diseases of high unmet need with a focus on metabolic disorders neurology and ophthalmology.
We are proud to have been named Triangle Business Journals Life Sciences 2024 Best Private Company to Work For recognized by Forbes as one of Americas Best Startup Employers of 2024 and honored as one of BioSpaces 2025 Best Places to Work.
Role Overview
The AI Engineer designs builds and operates agentic AI systems retrieval infrastructure and data pipelines that help realize Kriyas AI strategy. This roles responsibilities include developing custom AI agents retrieval-augmented generation (RAG) pipelines and MCP connectors that make Kriyas data accessible to AI tools. As a member of Kriyas Applied Computation & AI (ACAI) team the AI Engineer partners closely with stakeholders across the organization to ship production-grade AI systems quickly while meeting Kriyas security compliance and governance standards. This role requires strong software engineering fundamentals hands-on experience with modern agentic AI and cloud/data infrastructure and the judgment to translate ambiguous scientific and business needs into reliable systems.
Key Responsibilities
Key Responsibilities
- Design build and deploy agentic AI systems and LLM-based tools including specialized on-demand AI agent-contractors (e.g. scientific review competitive intelligence experimental design manufacturing analysis) and custom AI skills and plugins using orchestration frameworks such as LangGraph AWS Bedrock / AgentCore or similar.
- Build evaluate and maintain retrieval-augmented generation (RAG) pipelines and vector search capabilities over Kriyas internal data exposing that data to AI tools via MCP connectors and unified APIs.
- Develop production-grade data pipelines connecting Kriyas datalake to AI applications ensuring architecture access patterns and governance meet downstream AI requirements.
- Apply strong software engineering practices testing CI/CD version control observability and monitoring to build reliable secure and maintainable AI systems.
- Collaborate cross-functionally across functions such as CMC Clinical Corporate Strategy Legal and Finance to implement high-value opportunities for agentic AI and computational solutions translating scientific and business needs into technical designs.
- Provide technical leadership on agent architecture and AI system design model best practices for the team and mentor junior team members.
Experience & Skills and Work Environment
Experience & Skills
- Bachelors degree in Computer Science Engineering or a related field.
- Advanced degree preferred.
- 3-7 years of experience as a software ML or AI engineer (level based on depth of experience with agentic systems and scope of technical leadership). An equivalent combination of education and experience is acceptable.
- Hands-on experience building agentic AI systems / multi-step LLM workflows using frameworks such as LangGraph AWS Bedrock / AgentCore CrewAI or similar.
- Experience building RAG systems including chunking embeddings vector databases and retrieval evaluation.
- Strong Python engineering skills including API development and integration (MCP REST).
- Experience with AWS cloud services (e.g. Lambda S3 Bedrock IAM) and Databricks or similar platforms with solid data engineering fundamentals (ETL pipelines data modeling structured and unstructured data).
- Experience with LLMs and prompt engineering / evaluation practices.
- Experience with version control (Git) and collaborative development practices (CI/CD code review testing).
- Life sciences biotech or pharma experience preferred including familiarity with GxP-adjacent data governance and lab or manufacturing information systems (e.g. ELN/LIMS).
- Scientific curiosity and analytical mindset with the ability to translate ambiguous stakeholder needs into technical solutions.
- Excellent written and verbal communication for working with technical and non-technical stakeholders.
- Self-directed with ability to manage multiple projects independently in a fast-moving resource-constrained environment.
Work Environment
- Primarily desk-based generally in an office or home office setting.
- May involve extended periods of sitting and computer use.
Life at Kriya
Discover True Collaborative Teamwork
We have an ambitious set of goals but our confidence and our inspiration stems from our people. From California to North Carolina our teammates bring a spirit of Collaboration Leadership and Innovation to their work every day.
Were always looking for teammates with the drive and energy to help us grow. If you want to be a part of a company with an entrepreneurial culture a bold vision and a meaningful purpose join us.
Rewards & Benefits
We have an ambitious set of goals but our confidence and our inspiration stems from our people. From California to North Carolina our teammates bring a spirit of Collaboration Leadership and Innovation to their work every day.
Were always looking for teammates with the drive and energy to help us grow. If you want to be a part of a company with an entrepreneurial culture a bold vision and a meaningful purpose join us.
Rewards & Benefits
- Time Off & Work-Life Balance: Flexible Time Off Paid Parental & Medical Leave Paid Company Holidays
- Health & Wellness: Fertility & Family Building Benefits Medical Dental and Vision Insurance Employee Assistance Program (EAP) Life Insurance Short- and Long-Term Disability Coverage
- Financial Security: Equity 401(k) with Company Match Identity Theft Protection
- And More!
Required Experience:
IC
About Company
Kriya is building durable medicines designed to replace chronic re-treatment with a single administration—therapeutic medicines that can scale to millions.
