Python Developer

Role Overview

We are looking for a proactive AI Backend Engineer with 1–2 years of experience to join our team. The ideal candidate is someone who lives at the intersection of FastAPI and LangChain, with a passion for building autonomous agents and sophisticated automation workflows.

Key Responsibilities

AI Integration: Design and deploy production-ready LLM applications using LangChain and LangGraph.

Backend Development: Request lifecycle, async concepts, middleware, authentication, caching basics, background tasks/queues (nice to have), performance considerations.

Agentic Workflows: Develop and orchestrate AI Agents capable of multi-step reasoning and tool use.

Automation: Create complex, self-healing automation pipelines using tools like n8n.

Intelligent Scraping: Implement AI-powered web scraping tools (e.g., Firecrawl, Crawl4AI, or custom LLM-based parsers) to gather and structure unstructured data.

Data Management: Design and manage relational schemas in PostgreSQL or MySQL, ensuring data integrity for AI-driven features.

Prompt Engineering: Prompt structuring, few-shot techniques, evaluation, prompt iteration, and guardrails.

API design, authentication, logging, error handling, rate limiting, and monitoring.

Technical Requirements

Experience: 1–2 years in a professional software development environment.

Backend Mastery: Strong grasp of core backend concepts (RESTful APIs, Asyncio, Auth, Middleware) and database management.

AI Stack: Hands-on experience with LLM orchestration (RAG pipelines, vector databases) and Agentic frameworks.

Prompt Engineering: Proven ability to write "system-level" prompts that handle edge cases and maintain personas.

Web Scraping: Proficiency in bypassing modern bot detection and using AI to extract structured data from chaotic web pages.

Soft Skills & Leadership

Effective Communicator: Able to explain why a certain model or prompt strategy was chosen to non-technical stakeholders.

Self-Reliant & Reliable: You take ownership of a feature from "idea" to "deployment" without constant hand-holding.

Leadership Mindset: Even with 1–2 years of experience, you should be ready to mentor interns or lead specific AI initiatives within the team.

Documentation: Ability to clearly document API endpoints and AI logic flow.

Nice-to-Have Skills

Experience with Docker, CI/CD, or deploying services to cloud platforms (AWS/GCP/Azure).

Observability experience: logging/metrics/tracing (e.g., OpenTelemetry, Prometheus, Grafana).

Background job processing (Celery/RQ) or message queues (RabbitMQ/Kafka).

Experience with vector databases (e.g., pgvector, Pinecone, Weaviate, etc.).

Familiarity with frontend integration patterns for chat UIs

Job Type: Full-time

Work Location: In person