Software Engineer 1 , Applied AI
Interview KickstartMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessRemote hiring and in-demand AI skills balanced by specialization reduce applicant density to medium.
LLM agent specialization reduces transferability, though Python/API skills remain moderately transferable.
Explicit years and mandatory LLM/agent, Python/Django, and vector-database skills make screening highly stringent.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and deploy AI/ML solutions including LLM-powered agentic systems to enhance the learning platform.
Design, develop, and optimize agent pipelines/APIs; build tests and evaluation frameworks for agent behaviors.
Prioritize bug-fixing and performance improvement of AI agents; optionally contribute to MLOps deployment pipelines.
Minimum Requirements
1+ years full-time experience building and deploying AI Agents using LangChain, LangGraph, OpenAI API, Gemini API, Anthropic API, or similar.
1.5+ years full-time experience in Python and Django/Django REST framework (DRF)/FastAPI.
Familiarity with vector databases (e.g., Pinecone, Weaviate) and semantic search.
Work Experience Required: 1+ year in AI agents and 1.5+ years in backend frameworks as above.
Ideal Candidate Profile
Experience working closely with senior AI/ML engineers on real product-scale LLM agentic systems.
Strong debugging, problem-solving skills including ability to solve complex data structures and algorithms problems.
Comfortable working remotely with complete ownership, able to contribute to system design and performance optimization.