Role Overview
We are looking for a motivated Junior Fullstack Engineer with a strong backend focus who is eager to build great products and grow alongside a team that embraces cutting-edge technology. You write clean, thoughtful code, care about building reliable systems, and are genuinely curious about how AI development tools (like Cursor or Claude) can make you a faster, better developer from day one.
Key Responsibilities
Build API endpoints — write DRF serializers and viewsets serving data to a React frontend, working with complex models (JSONFields, custom managers, mixin patterns).
Extend AI agent capabilities — add new tools to agents; work on context engineering, and retrieval systems.
Write async task workers — build and debug distributed RQ worker logic covering document parsing (PDF, Excel, PowerPoint) and LLM inference pipelines.
Improve test coverage — write pytest tests with real database fixtures, mock external APIs, and catch N+1 query issues.
Ship frontend features — build React/TypeScript components wired to TanStack Query, styled with SCSS Modules; work with rich text, interactive charts, and virtualized tables.
Debug AI output — diagnose and fix hallucinations and retrieval failures in agent pipelines.
Technical Requirements
Solid Python fundamentals — classes, tracebacks, data structures, without over-relying on AI autocomplete.
Familiarity with web APIs: HTTP methods, JSON serialization, request/response cycles.
Comfort with Git: branching, rebasing, resolving merge conflicts.
Experience with at least one relational database: SQL queries and basic schema design.
Comfortable working with AI-based tools like Cursor, Claude Code, etc.
Genuine curiosity about AI/ML — LLM API usage, a RAG pipeline, or serious experimentation beyond chatting with ChatGPT.
Ability to debug AI-generated code — shipping broken AI output is worse than writing it yourself.
Django or Flask experience.
React/TypeScript exposure, even from a personal project.
Familiarity with Docker and containerized development.
Experience with vector databases, embeddings, or LLM orchestration (LangChain, LangGraph, etc.).
A deployed project you can demo — valued more than GPA.
Backend: Python 3.13, Django 5.2, Django REST Framework, PostgreSQL, Redis.
AI/ML: OpenAI, Anthropic & Google LLM APIs; LangChain + LangGraph; sentence-transformers; RAGAS.
Data: NumPy, Pandas, Polars, scikit-learn, XGBoost, PyMC, Prophet, Plotly.
Frontend: React 19, TypeScript, Vite, Ant Design, TanStack Query, SCSS Modules.
Infra: Docker, GitHub Actions CI/CD, AWS (S3, ECR), MinIO, Sentry, RQ.
Required
Nice to Have
Tech Stack
What We Offer
Mentorship and hands-on learning alongside senior engineers.
Opportunity to ship production code from day one on a real AI platform.
A culture that embraces AI tooling, rigorous testing, and continuous tech innovation.
Skills Required
- Solid Python fundamentals (classes, tracebacks, data structures)
- Familiarity with web APIs (HTTP methods, JSON serialization, request/response cycles)
- Proficiency with Git (branching, rebasing, resolving merge conflicts)
- Experience with at least one relational database (SQL queries and basic schema design)
- Comfortable working with AI-based developer tools (e.g., Cursor, Claude Code)
- Practical LLM API usage, retrieval-augmented generation (RAG) pipelines, or serious AI/ML experimentation
- Ability to debug AI-generated code and diagnose/fix hallucinations and retrieval failures
- Experience building Django REST Framework serializers and viewsets for complex models
- Experience writing async task workers and working with RQ-style distributed worker logic
- Testing experience: pytest with real database fixtures, mocking external APIs, and addressing N+1 queries
- React and TypeScript exposure (frontend component work, TanStack Query)
- Familiarity with Docker and containerized development
- Familiarity with vector databases, embeddings, and LLM orchestration frameworks (LangChain, LangGraph)
- A deployed project or demo to show (valued over GPA)
What We Do
Celara transforms your vision into reality by building elite near-shore technology teams with CTO-level expertise. Specializing in machine learning, enterprise software, and product development, Celara is dedicated to driving innovation through high-performance teams tailored to the unique needs of our ambitious clients. At Celara, we are more than just a service provider; we are technologists, entrepreneurs, and innovators deeply invested in your success. We build and foster elite teams aligned with your most ambitious goals. Our approach mirrors that of a CTO—focused on people, talent, structure, systems, and innovation. We are your partners in innovation, bringing deep technical expertise and a relentless drive to push the boundaries of what’s possible. We thrive on turning complex challenges into solutions, working side by side with your team to transform bold ideas into impactful realities. Ideal for: - VC-backed companies needing top talent to fuel growth - Established enterprises seeking more affordable elite technology professionals - Organizations requiring scalable tech teams with embedded strategic guidance Join us on this journey of growth and innovation. Let's transform your visions into reality together.
