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Tech Stack
About the role
- Design, build, and maintain scalable backend systems for document retrieval, processing pipelines, and AI-driven integrations, prioritizing correctness, composability, and long-term maintainability.
- Write backend code that minimizes side effects, structuring systems around pure transformations where possible and isolating I/O, orchestration, and infrastructure concerns at the edges.
- Design and implement well-defined APIs for serving machine learning models, vector databases, and embedding services, with explicit contracts, consistent error handling, and deterministic execution paths.
- Architect high-performance backend systems for AI training, simulation, and inference workloads, emphasizing clear data flow, reproducibility, and scalability.
- Create internal tools and dashboards that provide visibility into backend behavior, helping teams validate assumptions, enforce invariants, and continuously improve system efficiency.
- Develop automation, monitoring, and observability mechanisms that surface meaningful signals through logs, metrics, and traces, enabling rapid diagnosis of performance and reliability issues.
- Build systems that integrate fine-tuned AI models with databases and downstream services using compositional design patterns rather than tightly coupled, stateful flows.
- Contribute to internal tooling and open-source initiatives, ensuring codebases are easy to reason about, test, and evolve as teams and requirements grow.
- Develop reusable Python libraries that integrate with AWS services and GenAI workflows, favoring small, focused functions to enable safe reuse and predictable behavior.
Requirements
- Strong proficiency in Python, with experience designing codebases that emphasize clarity, composability, and testability over cleverness or excessive abstraction.
- Solid understanding of data structures, algorithms, and backend system design, with the ability to reason about correctness, performance, and trade-offs.
- Experience building systems that apply functional programming concepts in practice.
- Hands-on experience with cloud platforms (preferably AWS), including compute, storage, networking, and managed data services.
- Proven ability to design and build APIs and backend services, ideally within containerized environments using Docker and modern deployment pipelines.
- Familiarity with large-scale or distributed systems, including asynchronous processing and service-to-service communication patterns.
- A strong engineering mindset focused on writing maintainable, predictable backend code that scales across teams and over time.
- Self-directed, comfortable working in fast-paced environments, and able to take ownership of complex backend systems end-to-end.
- Professional-level English communication skills, with the ability to explain technical decisions clearly and concisely.
Benefits
- Remote-First Flexibility: Enjoy work-life harmony in a remote-first environment that allows you to work from anywhere.
- Innovative Culture: We embrace a startup mindset, encouraging creativity, agility, and growth.
- Career Development: Avahi is committed to your growth, offering mentorship and opportunities to advance your career, with potential for full-time roles after initial contracts.
- Purpose-Driven Mission: Join us in making a difference. Avahi is dedicated to championing diversity, supporting women in tech, and fostering sustainable practices.
- Global Collaboration: Work alongside a diverse, talented team, sharing insights and collaborating to create innovative solutions that make a real impact.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythonbackend system designdata structuresalgorithmsfunctional programmingAPI designcloud platformsAWSDockermonitoring and observability
Soft Skills
engineering mindsetself-directedownershipcommunication skillsclaritycomposabilitytestabilityadaptabilityproblem-solvingcollaboration