AI Engineer

24 hours ago

India Gumo Full time

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

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