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Selected role

Junior AI Engineer - USA

DataLabs Corporation

Senior Full-time

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.

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