Mid Full-Stack Engineer (Python/FastAPI/React)

• LLMs and ML as product features. You've built and shipped at least one feature where an LLM or ML model is part of what the product does for customers. Using AI coding assistants doesn't count toward this.

Specifically:

- Tool or function calling, and structured outputs validated against schemas.

- Prompt design, versioning, and checking outputs against source data to limit hallucinations.

- Evaluating model behavior with test sets or eval suites, and handling cost, latency, and failure modes.

- Streaming LLM responses to a user interface.

• Python backend: production experience with FastAPI or a similar framework, Pydantic, async Python, and SQLAlchemy (or a comparable ORM) with migrations.
• Relational databases: strong PostgreSQL skills, including schema design, query performance, and data integrity.
• React and TypeScript: production experience with modern hooks-based React, server-state management (TanStack Query or similar), and building complex, data-dense interfaces.
• Testing: you write automated tests by habit, both unit and integration, on the backend and the frontend.
• Cloud and delivery: working experience with AWS, Docker, Git-based pull request workflows, and CI/CD pipelines.
• Hands-on experience with pydantic-ai, the Vercel AI SDK, or comparable agent and LLM frameworks such as LangChain, LangGraph, or the OpenAI Agents SDK.
• Retrieval and RAG systems: embeddings, vector search (pgvector or similar), and hybrid retrieval.
• Document AI: PDF and table extraction, OCR, and classifying semi-structured data.
• Classical ML or applied statistics: regression, estimation, and working with confidence ranges.

• Terraform and AWS App Runner or ECS.

• Geospatial work: Shapely, PostGIS, or Leaflet-style mapping.
• Domain exposure to real estate, construction, finance, or proptech, such as cost estimating or pro forma modeling.
• Security-minded engineering: multi-tenant data isolation, authorization models, and secrets handling.

• Communication: professional working English, and you can work independently in a small remote team. That means clear written updates, good pull request descriptions, and raising blockers early.

What We Offer:

• Competitive compensation paid in USD.

• 20 days of paid time off (PTO) per year.

• Opportunities for professional growth and career development.

• Company-provided equipment.

• A collaborative, inclusive, and multicultural work environment.

• The opportunity to contribute to meaningful projects alongside a talented and supportive team.

Pre-Employment Verification

As part of our standard onboarding process, candidates who successfully complete the interview process and accept an employment offer will be required to complete an employment verification check, and background check. This process will confirm job titles and dates of employment with two previous employers and is a standard requirement for all new employees joining the company.

Originally posted on Himalayas

• Full Stack Engineer
• Backend Engineer
• Frontend Engineer
• AI Engineer

Source: Himalayas