A New Approach to Mission Critical

Senior Software Engineer – AI, LLMs

Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 11-50H1B No SponsorCompany Site LinkedIn

Location

United States

Posted

141 days ago

Salary

$120K - $160K / year

6 yrs expEnglishAWSCloudDockerMicroservicesPostgresPythonSQLTerraformType Script

Job Description

• Design and implement backend services that enable intelligent agent workflows and autonomous infrastructure actions • Develop APIs and orchestration layers in Python and TypeScript, integrating LLMs, vector databases, and observability pipelines • Build scalable systems to support LLM-based reasoning, retrieval, and decision-making across cloud infrastructure • Integrate with AWS Bedrock and other LLM platforms to support multi-model capabilities • Develop data access and semantic search layers using vector databases (e.g., pgvector, Pinecone, Qdrant) • Build robust monitoring, testing, and CI/CD systems to ensure reliability and reproducibility of AI workflows • Collaborate closely with the product and DevOps teams to design architecture diagrams, plan deployments, and monitor system health • Write clean, maintainable code with clear documentation and strong adherence to security and performance best practices • Participate in code reviews, design discussions, and iterative delivery cycles to improve product velocity and quality

Job Requirements

6+ years of backend engineering experience in production environments
Strong proficiency in Python and TypeScript for building distributed, event-driven systems
Deep understanding of AWS services (Lambda, ECS, Bedrock, S3, CloudWatch, etc.)
Experience designing APIs, microservices, and event pipelines that interface with LLMs or AI models
Familiarity with vector databases and concepts like embeddings, similarity search, and retrieval-augmented generation
Experience with infrastructure-as-code tools such as Terraform or AWS CDK
Understanding of SQL and schema migration workflows (PostgreSQL or similar)
Hands-on experience with Docker, GitHub Actions, and cloud-native CI/CD workflows
Ability to diagram systems, communicate architecture decisions clearly, and work asynchronously in a distributed team
Strong sense of ownership and ability to deliver in fast-moving, ambiguous environments

Benefits

Medical/dental/vision - 100% paid for employees, 50% paid for dependents
Life and disability - 100% paid for employees
401K - 3% contribution, no employee contribution necessary
Education and tuition reimbursement - up to $50K annually
Employee Stock Options Plan
Accident, critical illness, hospital indemnity benefits offered through our providers
Employee Assistance Program
Legal assistance
Paid Time Off - up to 6 weeks per year
Sick Leave - up to 2 weeks per year
Parental Leave - up to 12 weeks