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🌐 Remote💼 Full-time🗓 2026-06-25

Core

Lead development of complex Python applications and AI-powered features including RAG pipelines and intelligent search systems.

Role type

Senior IC backend engineer (AI/LLM integration)

Builds

AI-powered backend features, RAG pipelines, and intelligent search systems

Domain

Software engineering, Artificial Intelligence, Large Language Models

Deliverable

production ML models | product features

Required skills

Python, Django, RAG pipeline development, LLM API integration, vector database management, prompt engineering, LLM orchestration

Preferred skills

React, GoLang, cloud platforms (AWS/GCP/Azure), LLM fine-tuning, AI observability tools

Technologies

Django, LangChain, LlamaIndex, Haystack, OpenAI, Anthropic, Cohere, Pinecone, Weaviate, Qdrant, ChromaDB, pgvector, LangSmith, Weights & Biases

Responsibilities

Lead development of complex Python applications using Django, Design and build AI-powered features including RAG pipelines, Integrate LLM APIs into backend systems, Manage vector databases and embedding workflows, Manage projects from conception through deployment, Implement best practices around code quality, testing, and documentation, Evaluate and recommend emerging AI tools and frameworks

Seniority

Senior, hands-on IC

Rewrite
## About the role Full-time remote position focused on Python development, software engineering, and AI integration. ## Key Responsibilities - Lead development of complex Python applications using the Django framework - Design and build AI-powered features, including Retrieval-Augmented Generation (RAG) pipelines and intelligent search systems - Integrate LLM APIs (OpenAI, Anthropic, etc.) and other AI/ML services into backend systems - Manage vector databases and embedding workflows for knowledge retrieval - Manage projects from conception through deployment - Ensure timely delivery and high-quality output - Contribute independently to the codebase - Collaborate with cross-functional teams, including US-based colleagues - Implement and enforce best practices around code quality, testing, and documentation - Evaluate and recommend emerging AI tools, frameworks, and models to improve product capabilities ## Essential Qualifications - 6+ years of experience with Django or Python web development - 2+ years of hands-on experience building AI/ML-powered applications or features - Demonstrated experience building RAG pipelines using frameworks such as LangChain, LlamaIndex, or Haystack - Proven experience integrating LLM APIs (OpenAI, Anthropic, Cohere, etc.) into production backend systems - Working knowledge of vector databases (Pinecone, Weaviate, Qdrant, ChromaDB, or pgvector) - Strong understanding of prompt engineering and LLM orchestration patterns - Proven track record of successful Python projects - Exceptional communication skills — both written and verbal - Ability to work effectively in a fully remote environment - Strong independent work ethic, self-motivation, and discipline - Comfortable working overlapping US team hours ## Preferred Qualifications - Experience with React front-end development - Basic knowledge of GoLang - Familiarity with cloud platforms (AWS, GCP, Azure) and their AI/ML services (SageMaker, Vertex AI, Azure AI) - Experience with fine-tuning or evaluating LLMs - Familiarity with embedding models and semantic search techniques - Knowledge of AI observability and evaluation tools (LangSmith, Weights & Biases, etc.) - Understanding of Agile methodologies ## Technical Skills - Python, Django, Web Development, Object-Oriented Programming (OOP) - LLM APIs & Orchestration (OpenAI, Anthropic, LangChain, LlamaIndex) - RAG Architecture & Vector Databases - Database Management (relational + vector stores) - API Design & Integration ## Work Environment - 100% Remote - Collaborative international team - Project-driven development approach
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