Backend AI Engineer

Design and develop scalable backend services using Python frameworks such as FastAPI, Flask, or Django Build and deploy AI/ML and LLM-powered applications, including prompt orchestration and RAG architectures Develop and maintain secure, high-performing RESTful APIs Deploy and manage ML models in production environments Architect and optimize data storage solutions across relational, NoSQL, and vector databases Implement containerized solutions using Docker and cloud-native orchestration tools (ECS/EKS) Collaborate with cross-functional teams to translate business needs into technical solutions Ensure code quality through testing, automation, and best engineering practices

We are seeking a highly skilled Backend Engineer to design, build, and scale AI-powered services. This role will focus on developing robust backend systems that support LLM-driven applications, integrating machine learning models, and delivering secure, high-performance APIs in a cloud-native environment., Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) 4+ years of backend development experience, including 2+ years working with AI/ML or LLM-based systems Strong proficiency in Python and API development Hands-on experience with AWS services (Lambda, API Gateway, S3, SageMaker, Bedrock) Experience with both SQL and NoSQL databases; familiarity with vector databases preferred Knowledge of asynchronous programming, event-driven architectures, and distributed systems Solid understanding of testing frameworks and software development best practices

Preferred Qualifications:

Experience with PySpark, Databricks, or distributed data processing frameworks Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker Pipelines) and Infrastructure as Code (Terraform, CloudFormation) Experience with streaming platforms (Kafka, Kinesis) and ETL/data pipeline development Knowledge of microservices architecture, observability tools, and GraphQL APIs Background in regulated industries and understanding of data governance and compliance Exposure to statistical modeling tools such as R or Stata

This is an exciting opportunity to work at the forefront of AI innovation, building scalable systems that power next-generation intelligent applications. Equal Opportunity Employer / Disabled / Protected Veterans

The Know Your Rights poster is available here: _EEOC_KnowYourRights6.12.pdf

The pay transparency policy is available here: _%20English_formattedESQA508c.pdf

For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.

We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.

AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program. _Participation_Poster_ES.pdf

We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.