Senior Backend Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and scale asynchronous REST/WebSocket APIs using Python with FastAPI or similar frameworks.

• Implement workflows involving sequential, concurrent, and handoff multi-agent processes.

• Integrate various LLM providers behind a provider-agnostic layer for A/B testing and cost-efficient routing.

• Develop and maintain RAG pipelines utilizing vector storage solutions like pgvector, Chroma, or managed vector search services.

• Create schemas and evolve data models employing SQLAlchemy/SQLModel-style ORM and migration strategies.

• Instrument services to include structured logging, distributed tracing, and metrics for cost and latency.

• Oversee end-to-end CI/CD processes, encompassing linting, type checking, testing, packaging, and deployment.

• Set up AI delivery guardrails focusing on code review, data provenance, licensing, and customer data utilization.

• Transform concepts into production-ready solutions, taking ownership of architecture and outcomes.

⛳️ Requirements

• Over 5 years of experience developing production backend systems in Python, with genuine expertise in async I/O.

• Proven hands-on experience in designing and scaling REST or asynchronous APIs, including concepts like dependency injection and clean service architecture.

• Practical experience in integrating LLM APIs (such as OpenAI, Gemini, or similar) and embedding AI readiness into backend systems from the outset.

• Real-world experience with vector databases and retrieval architectures following RAG principles.

• Strong skills in relational databases, including schema design, query optimization, and disciplined migration practices.

• Familiarity with AI-augmented delivery throughout the entire delivery lifecycle.

• Capability to discern which AI models are appropriate for specific challenges and identify scenarios where they should not be utilized.

• Experience in reviewing AI-generated code and establishing guidelines for generated code, data provenance, licensing, customer data security, and compliance.

• Comprehensive ownership of CI/CD processes, from building and testing to packaging and deployment.

• A proactive, self-starting mindset; comfortable navigating ambiguity, rapid iteration, and taking ownership of problem resolution.

• Bonus: Experience with multi-agent orchestration frameworks like Semantic Kernel, LangChain, or similar, along with LLM cost and observability tools.

🏝️ Benefits

• Work-life balance.

• Diversity and inclusion initiatives.

• Opportunities for learning and development.

• Access to over 20 affinity groups for networking and connection.

• Health insurance options.

• Health Savings Account (HSA).

• Medical insurance.

• Dental insurance.

• Vision insurance.

• Matching 401K plan.

• Life, AD&D, STD, and LTD insurance.

• Tuition reimbursement.

• Pet insurance.

• Generous vacation policy.

• Mentorship and opportunities for career advancement.