AI Engineer

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-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

Benefits : 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 activities

Contact us : Send us your resume with your preferred position to below address

careers@gumo.co.in