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Posted on 2025/11/14

Junior Ai Engineer India Bikaner

DataLabs

Bikaner, Rajasthan, India

Part-time

Full Description

Junior AI Engineer – India (Remote)

Role: Junior AI Engineer

Location: India 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,

solid 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.

Solid 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.