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5 days ago
Responsibilities:- Design, build, and maintain our AI-driven knowledge graph creation pipeline- Integrate third-party APIs for web scraping (e.g., Browserless), search (e.g., Tavily), and multimedia processing- Develop and refine sophisticated prompts for Large Language Models (Amazon Bedrock, Claude) to perform high-accuracy data extraction from unstructured text and video transcripts- Build and manage the backend data workflow using Python and Django, populating a PostgreSQL database- Implement an agentic AI system that translates natural language user queries into structured database lookups via the Django ORM- Develop data validation, cleaning, and entity deduplication logic to ensure knowledge graph integrity- Optimize the end-to-end pipeline for performance, scalability, and cost-effectivenessRequired Technical Skills:- 4+ years of software development experience with strong Python proficiency- Proven experience working with major LLM APIs (Amazon Bedrock, OpenAI, Google Gemini)- Expertise in prompt engineering for complex data extraction and agentic tasks- Hands-on experience with web scraping tools or services (e.g., Beautiful Soup, Scrapy, Browserless, Apify)- Strong experience with backend frameworks, preferably Django- Proficiency with relational databases (PostgreSQL) and ORMs- Experience integrating various REST APIs- Proficiency with version control (Git)Preferred Skills:- Experience with agentic frameworks like LangChain or LangGraph- Familiarity with cloud services, particularly AWS (S3, Lambda, RDS, Transcribe)- Knowledge of workflow automation tools (e.g., n8n, Airflow)- Understanding of graph databases (Amazon Neptune, Neo4j) and query languages (Gremlin, Cypher)- Experience with multimedia processing libraries (e.g., ffmpeg)- CI/CD for AI/ML systems- Familiarity with vector databases and semantic search conceptsTechnical Requirements:- Deep understanding of Retrieval-Augmented Generation (RAG) architecture- Experience building secure Text-to-SQL or Text-to-ORM systems- Proficiency in processing both unstructured (text, transcripts) and structured (database) data- Strong knowledge of data structures, algorithms, and system design principles- Understanding of the trade-offs between different data storage solutions (SQL vs. Graph vs. Vector)Qualifications:- Bachelor's in Computer Science, AI, Data Science, or a related field- 2+ years of relevant software engineering experience, with a significant focus on AI solutions- Strong analytical and problem-solving abilities, especially with messy, real-world data- Excellent communication skills to articulate complex technical concepts- Experience working in Agile/Scrum environmentsBenefits:- Competitive salary and benefits package- Opportunity to work on challenging projects using cutting-edge technologies- Professional development opportunities- Flexible work arrangements- Collaborative and innovative work environment- Health insurance and other benefits- Regular team events and activitiesContact us:Send us your resume with your preferred position to below
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