Core Responsibilities

– Production Engineering (50%): Write clean, scalable, and maintainable code (Python/Node.js)

to support live client deliverables. You will build backend APIs, optimize data pipelines, and

troubleshoot live technical environments to ensure our delivery timelines are met.

– Applied AI & LLM Integration (50%): Build AI agents, implement Retrieval-Augmented

Generation (RAG) pipelines, and directly integrate foundational LLMs into our core back-

end systems.

– System Architecture: Work alongside senior developers to connect experimental AI work-

flows with stable, enterprise-grade databases and cloud infrastructure.

Required Skills & Stack

– Strong Coding Fundamentals: You are highly comfortable writing and debugging back-

end code. You know your way around APIs, databases (SQL/NoSQL), and version control

(Git).

– AI/LLM Mechanics: You understand how LLMs actually work under the hood. You are

familiar with prompt engineering, context window management, tokenization, and vector

databases.

– Systems Thinking: You can break down complex bottlenecks logically. You understand

the trade-offs between a cutting-edge AI feature and a stable, scalable software product.

– Adaptability: You can context-switch quickly between researching a new AI integration

and shipping a strict, deadline-driven client feature.

Why Join Two99?

– Real Impact: You will build and deploy features that actual clients use, directly impacting

our core roadmaps.

– Mentorship: Work directly with senior technologists who will train you in applied ML,

capital-efficient engineering, and large-scale system architecture.

– Compensation: Industry-standard salary/stipend for the duration of the internship.

– Growth: High-performing interns will have a direct pathway to a Pre-Placement Offer

(PPO) as our engineering team scales.

Job Type: Internship
Contract length: 3 months

Pay: ₹10,000.00 - ₹15,000.00 per month

Ability to commute/relocate:

• Noida, Uttar Pradesh: Reliably commute or planning to relocate before starting work (Preferred)

Location:

• Noida, Uttar Pradesh (Preferred)

Work Location: In person