Neuralsolutions
Full Stack Software Engineer (AI Infrastructure)
Neuralsolutions, Columbia, Maryland, United States, 21046
Full Stack Software Engineer (AI Infrastructure)
Full-Stack Software Engineer
Join us in building the next generation of AI infrastructure that will power innovation across our organization. We’re seeking an experienced full-stack software engineer to support our AI infrastructure team in Columbia, MD. In this role, you’ll help build and maintain the platform that provides the foundation for our AI capabilities, focusing on inference services while supporting the broader ecosystem of AI-enabled applications.
Responsibilities:
Design, implement, and optimize infrastructure for AI model inference at scale.
Support the development and maintenance of production AI services and applications, including retrieval augmented generation (RAG), autonomous agents, and emerging technologies.
Navigate ambiguity and define solutions for underspecified systems and requirements.
Drive adoption of new technologies and practices across engineering teams.
Implement monitoring, logging, and observability solutions for AI services.
Automate infrastructure provisioning and configuration using IaC principles.
Ensure high availability, reliability, and performance of AI platform components.
Contribute to security best practices for AI systems and data.
Provide technical guidance and informal mentorship to junior engineers.
Required Skills:
Proven experience building and maintaining production systems at scale.
Experience with high-volume web application architecture and performance optimization. Strong background in systems integration across diverse technologies and platforms.
Hands-on experience with cloud engineering in AWS.
Proficiency with Kubernetes administration and deployment patterns.
Experience implementing observability solutions (APM, OpenTelemetry, Grafana, Prometheus).
Familiarity with CI/CD pipelines and DevOps practices.
Strong change management and organizational influence skills.
Ability to thrive in ambiguous environments and create structure where needed.
Nice to Have:
Experience with AI inference serving technologies (vLLM, LiteLLM, etc.).
Previous experience with agentic frameworks (LangChain).
Knowledge of vector databases and embedding systems.
Experience with high-performance computing or distributed systems.
Experience Required:
8 years with Bachelor's degree in a technical field, or 4 additional years without degree
Location:
Columbia, MD
Clearance:
TS/SCI with Polygraph required
Questions about this role or want to learn more about Neural Solutions?
#J-18808-Ljbffr
Responsibilities:
Design, implement, and optimize infrastructure for AI model inference at scale.
Support the development and maintenance of production AI services and applications, including retrieval augmented generation (RAG), autonomous agents, and emerging technologies.
Navigate ambiguity and define solutions for underspecified systems and requirements.
Drive adoption of new technologies and practices across engineering teams.
Implement monitoring, logging, and observability solutions for AI services.
Automate infrastructure provisioning and configuration using IaC principles.
Ensure high availability, reliability, and performance of AI platform components.
Contribute to security best practices for AI systems and data.
Provide technical guidance and informal mentorship to junior engineers.
Required Skills:
Proven experience building and maintaining production systems at scale.
Experience with high-volume web application architecture and performance optimization. Strong background in systems integration across diverse technologies and platforms.
Hands-on experience with cloud engineering in AWS.
Proficiency with Kubernetes administration and deployment patterns.
Experience implementing observability solutions (APM, OpenTelemetry, Grafana, Prometheus).
Familiarity with CI/CD pipelines and DevOps practices.
Strong change management and organizational influence skills.
Ability to thrive in ambiguous environments and create structure where needed.
Nice to Have:
Experience with AI inference serving technologies (vLLM, LiteLLM, etc.).
Previous experience with agentic frameworks (LangChain).
Knowledge of vector databases and embedding systems.
Experience with high-performance computing or distributed systems.
Experience Required:
8 years with Bachelor's degree in a technical field, or 4 additional years without degree
Location:
Columbia, MD
Clearance:
TS/SCI with Polygraph required
Questions about this role or want to learn more about Neural Solutions?
#J-18808-Ljbffr