Junior AI Developer

CivicDataLab; New Delhi; On-site; INR 650,000 - 750,000; Full time

Benefits offered by this job

Professional development support

Wellness benefits

Paid parental leave

Job summary

CivicDataLab seeks a Junior AI Developer to join the Responsible AI team in Delhi. The role involves collaborating with AI Engineers to build AI systems and developing prototypes for public sector projects. Ideal candidates have 1-2 years of experience and knowledge in LLMs, Python, and NLP.

The position offers a salary range of INR 6.5–7.5 LPA, including benefits such as wellness support and professional development.

Qualifications

• 1-2 years as an AI/ML engineer, data scientist, or software engineer.
• Working knowledge of LLMs, embeddings, and RAG workflows.
• Comfortable working across multiple projects with some autonomy.

Responsibilities

• Implement and experiment with prompting strategies and LLM integrations.
• Develop multilingual conversational AI interfaces.
• Build evaluation modules for model outputs.

Skills

LLMs

NLP

Python

Multilingual AI

Chatbot development

Education

Bachelor's or Master's in Computer Science, Engineering, or related field

Job description

Junior AI Developer

Full Time | Delhi | 1-2 Years Experience

Job Summary

LLMs · Multilingual AI · Applied NLP · AI Evaluations · Rapid Prototyping · Chatbot Development · Agentic AI

We are looking for a Junior AI Developer to join our growing Responsible AI team. You will work closely with our AI Engineer, contributing hands‑on to building AI systems, developing prototypes, and supporting applied research across CDL's active projects. This role is ideal for someone who is technically sharp, curious about applied AI in the public sector, and comfortable working independently on well‑scoped tasks.

Key Responsibilities

• Implement and experiment with prompting strategies, retrieval architectures, and LLM integrations across CDL's active projects
• Develop and iterate on multilingual conversational AI interfaces for CivicDataLab's use cases
• Build and maintain RAG pipelines for document‑heavy datasets
• Assess and improve dataset readiness for NLP tasks, including schema alignment and metadata tagging, using standards like Croissant
• Build evaluation modules to measure model outputs for hallucination, bias, safety, and privacy issues across multilingual and domain‑specific contexts

Essential Qualifications

• Education: Bachelor's or Master's in Computer Science, Engineering, or a related field with a focus on machine learning and/or NLP
• Experience: 1-2 years as an AI/ML engineer, data scientist, or software engineer
• Working knowledge of LLMs, embeddings, RAG workflows, chatbots and agentic architectures
• Proficiency with Python
• Comfortable working across multiple projects with some autonomy, and communicating proactively about progress and blockers

Good to Have

• Familiarity with Indic languages or prior work on multilingual/low‑resource NLP
• Ability to scope loosely defined ideas into small, testable prototypes without needing fully specified requirements
• Interest in responsible AI, fairness, safety, transparency, or AI policy
• Research curiosity, comfortable in reading papers, reproducing results, or translating research ideas into working prototypes
• Exposure to open government data, civic tech, or public sector AI applications

Benefits

Cost to Organisation(CTO) range INR 6.5–7.5 LPA

The overall compensation package includes fixed remuneration, statutory benefits, and performance‑linked components, in accordance with organisational policies. A portion of the annual compensation is linked to continuity with the organisation and achievement of agreed performance expectations. Exceptional performance may also be eligible for additional incentives under the organisation's reward and recognition framework.

The organisation also provides professional development support, wellness benefits, and other resources to enable employees to perform effectively and grow in their roles.

Our Commitment to Diversity

We are committed to inclusive hiring and strongly encourage applicants from diverse and under‑represented gender and caste identities and/or sociocultural backgrounds to apply for this role. Our organisational policies are gender‑neutral, including the POSH policy and leave policy. We provide 6 months of paid time off as parental leave for the primary caregiver and 6 weeks of paid time off for the secondary caregiver, including adoption.