1. Junior AI Engineer – USA (Remote)
Role: Junior AI Engineer
Location: USA Remote
Employment Type: Full-time
About the Role
We’re looking for a motivated Junior AI Engineer to join our AI & ML team. You’ll assist
in developing and deploying AI-powered features, support prompt engineering and RAG
workflows, and collaborate with product and engineering teams to bring generative-AI
capabilities into real products.
This is a role designed for candidates with up to 12 months of professional experience,
strong hands-on project or internship work, and a keen appetite to grow quickly in an AI-
first environment.
Key Responsibilities
Assist in building AI features: use Python, LLM APIs (OpenAI, Anthropic, etc.),
vector embedding pipelines.
Support prompt engineering and RAG workflows: design, test, iterate prompt
templates, integrate vector search.
Help build and maintain AI-model monitoring/observability dashboards: track
model accuracy, latency, drift.
Work with backend engineers to integrate AI services into product flows
(FastAPI/Flask, microservices).
Participate in experimenting with AI workflows: multi-agent orchestration, model
fine-tuning, system prompts.
Document learnings, best practices, and collaborate across UI/UX, data, and
engineering teams.
Qualifications (Required)
Bachelor’s degree in Computer Science, Data Science, Mathematics, or
equivalent.
Up to 12 months of experience including internships, academic projects, or part-
time roles in AI, ML, or software engineering.
Proficiency in Python and familiarity with ML/AI libraries (e.g., PyTorch, scikit-
learn, Hugging Face).
Basic understanding of LLMs, prompt engineering, vector databases, or RAG
concepts.
Strong communication skills, curiosity, and ability to work in a fast-paced,
ambiguous environment.
Preferred Skills
Experience with LangChain, LlamaIndex, or other LLM-orchestration libraries.
Familiarity with AWS/GCP/Azure and containerisation (Docker).
Built a public portfolio (GitHub/Colab) showing AI/LLM work (chatbots,
embeddings, prompt tasks).
Experience with frontend/backend integration (API design, FastAPI/Flask).
Why Join Us
Early-stage AI product team where you’ll learn rapidly and take ownership.
Access to GPU/AI resources, training budget, mentorship from senior AI
engineers.