Junior AI Developer

Junior AI Developer Full Time | Delhi | 1-2 Years

Experience

About CivicDataLab We, at CivicDataLab, work at the intersection of data, technology, design and social science to strengthen access to public information, evidence-based decision-making and citizen participation in governance. CivicDataLab (CDL) harnesses the potential of open knowledge movements to strengthen the data-for-public-good ecosystem and enable citizens to engage in matters of public reform. We work closely with governments, non-profits, think tanks, media houses and universities to enhance their data and technology capacity to better data-driven decision-making at scale. Our current areas of expertise include digital public goods & infrastructure (DPGs & DPI), climate change, public finance, urban development, open contracting and law & justice. We have co-created digital public goods and emerging technology solutions like open data platforms, data exchanges, data science models and citizen-led apps for improving participatory data-driven governance in India and other countries. Responsible AI At CivicDataLab Our work in the Responsible AI space spans the following areas: Participatory evaluation of multilingual AI systems in high-risk domains, sourcing Onboarding datasets for low-resource Indian languages to make AI more linguistically inclusive, Applied research in model compression to make capable AI accessible in resource-constrained settings. We also work on AI applications for disaster risk reduction and run skilling initiatives to build responsible AI literacy among practitioners and communities.

Requirements

Job Summary LLMs

• 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 pol

Job Summary LLMs

• 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