JobsBackendSenior Software Engineer (AI / LLMs)
apiphani

apiphani

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Backend

Senior Software Engineer (AI / LLMs)

RemoteSeniorPosted Aug 17, 2026
PythonTypeScriptAWSLLMsLangChainPostgreSQLTerraformDocker+15 more

About this role

Build the backend for Luumen, an AI-driven infrastructure automation platform combining agentic AI, LLMs, and RAG. Design distributed systems in Python and TypeScript that orchestrate intelligent agents across enterprise cloud infrastructure.

Must have

6+ years of backend engineering experience in production environments

Strong proficiency in Python and TypeScript for distributed event-driven systems

Deep understanding of AWS services including Lambda ECS Bedrock S3 and CloudWatch

Experience designing APIs microservices and event pipelines interfacing with LLMs or AI models

Familiarity with vector databases 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 in PostgreSQL or similar

Hands-on experience with Docker GitHub Actions and cloud-native CI/CD workflows

Ability to diagram systems communicate architecture decisions and work asynchronously

Strong sense of ownership and ability to deliver in fast-moving ambiguous environments

Technologies

PythonSQLAWSTypeScriptGitDockerRESTLinuxPostgreSQLTerraformMicroservicesCloudJSONOpen sourceDatadogCI/CDLLMsLangChainMLOpsOpenAIGitHub ActionsRAGLambda

Responsibilities

Design and implement backend services enabling intelligent agent workflows and autonomous infrastructure actions

Develop APIs and orchestration layers in Python and TypeScript integrating LLMs vector databases and observability

Build scalable systems for 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 such as pgvector Pinecone or Qdrant

Build robust monitoring testing and CI/CD systems ensuring reliability and reproducibility of AI workflows

Collaborate with product and DevOps teams on architecture diagrams deployment planning and system health monitoring

Write clean maintainable code with clear documentation adhering to security and performance best practices

Participate in code reviews design discussions and iterative delivery cycles to improve velocity and quality

Benefits

Employee Assistance ProgramHealth insuranceDental insuranceVision insuranceRetirement benefits with matchPaid vacationParental leaveEducation assistance

Amenities

Remote workCompetitive salaryFlexible PTO up to 6 weeks per yearSick leave up to 2 weeks per year

Recruitment process

1

High-impact zero-to-one engineering role building backend foundations for large-scale AI orchestration

2

Work on distributed systems combining traditional infrastructure automation with LLMs RAG and intelligent agents

3

Globally distributed high-performing team focused on redefining enterprise infrastructure management

4

Technical decisions will shape next generation of enterprise operations blending automation AI and agentic reasoning

5

Small but rapidly growing company with lots of room for growth and learning opportunities

6

Diverse and inclusive work environment fostering belonging respect and empowerment

7

Benefits listed apply to US employees international employees receive statutory benefits via Deel