Job Description

AI Engineer

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Responsibilites : 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-effectiveness Required 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 concepts Technical 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 environments

Job Types: Full-time, Contractual / Temporary, Freelance

Work Location: Remote