Junior AI Developer

Junior AI Developer

Bangalore, Hybrid

About Accuris

Accuris is a global information and technology company providing trusted data, intelligence, and workflow solutions to professionals across highly specialized industries. Our solutions empower engineers, researchers, and technical professionals to make informed decisions, improve productivity, and solve complex challenges.

By combining deep domain expertise with innovative technology, Accuris is transforming how technical information is accessed, understood, and applied.

About the Role

We are looking for a curious and technically motivated Junior AI Developer to join our team and contribute to the development of AI-powered applications and intelligent product capabilities.

In this role, you will work with experienced developers, AI/ML specialists, and product teams to build, test, and integrate AI-driven solutions. You will gain hands-on exposure to machine learning concepts, large language models (LLMs), data processing, APIs, and AI application development.

The ideal candidate has a solid programming foundation, an interest in artificial intelligence, and the ability to learn and apply emerging technologies to practical business and product challenges.

Key Responsibilities

AI Application Development

Assist in designing, developing, testing, and maintaining AI-powered applications and product features.

Support the integration of AI and machine learning capabilities into existing applications and workflows.

Work with APIs and AI frameworks to build application features that use machine learning models or large language models.

Assist in developing and maintaining prototypes, proof-of-concepts, and production-ready AI features under the guidance of senior team members.

Write clean, modular, maintainable code and follow established engineering practices.

Data Processing and Model Integration

Assist in preparing, cleaning, transforming, and validating data for AI-related applications.

Support the implementation and evaluation of AI/ML models and model-powered services.

Experiment with prompts, model configurations, and retrieval techniques to improve the quality and relevance of AI-generated outputs.

Assist with retrieval-augmented generation (RAG), embeddings, vector search, or document-processing workflows where applicable.

Help evaluate AI outputs for accuracy, relevance, consistency, and reliability.

Testing, Performance, and Responsible AI

Develop and execute tests for AI application functionality, integrations, and data-processing pipelines.

Help investigate issues related to model outputs, application performance, and system integrations.

Support the monitoring and improvement of AI solution quality, latency, and reliability.

Follow practices for secure data handling, privacy, responsible AI usage, and protection against inappropriate or unreliable model outputs.

Document experiments, implementation decisions, test results, and technical findings.

Collaboration and Continuous Learning

Collaborate with software engineers, AI/ML specialists, QA engineers, and product managers.

Participate in code reviews, sprint planning, technical discussions, and knowledge-sharing sessions.

Keep up with developments in AI, machine learning, LLMs, and AI application frameworks.

Learn and apply new tools, technologies, and approaches based on evolving product and business requirements.

Key Stakeholders

AI/ML and Data teams

Software Engineering and Product Development teams

Quality Assurance and Testing teams

Product Management

DevOps and Cloud Engineering teams

Cross-functional business stakeholders

Requirements

Technical Skills

Working knowledge of Python and its use in application development or data processing.

Understanding of programming fundamentals, data structures, algorithms, and object-oriented programming.

Basic knowledge of machine learning concepts, model training or inference, and AI application use cases.

Familiarity with APIs, JSON, and integrating external services into applications.

Basic understanding of data manipulation, preprocessing, and validation.

Familiarity with Git and standard software development practices.

Preferred (Not Required)

Exposure to machine learning libraries such as scikit-learn, PyTorch, or TensorFlow.

Familiarity with LLMs, prompt engineering, AI APIs, or frameworks such as LangChain or LlamaIndex.

Basic exposure to embeddings, vector databases, semantic search, or RAG architectures.

Familiarity with SQL, cloud platforms, notebooks, or data-processing pipelines.

Academic projects, internships, hackathons, or personal projects involving AI, machine learning, NLP, or generative AI.

Education & Experience

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related discipline.

Fresh graduates and candidates with up to 2 years of relevant experience in software development, AI/ML, or data-oriented roles are encouraged to apply.

Equivalent practical experience demonstrated through relevant projects may also be considered.

What We're Looking For

Analytical Thinking and Technical Curiosity

Demonstrates an interest in understanding how AI and machine learning systems work.

Can break down technical problems into manageable steps and evaluate potential solutions.

Is willing to experiment, learn from results, and refine approaches based on evidence.

Learning Agility

Can quickly understand new technical concepts and apply them to practical tasks.

Is comfortable working with evolving tools, frameworks, and AI technologies.

Demonstrates initiative in exploring new approaches while remaining receptive to guidance and feedback.

Communication and Collaboration

Communicates technical findings and implementation challenges clearly.

Works effectively with developers and non-technical stakeholders.

Can document experiments, explain decisions, and collaborate constructively across teams.

Quality, Ownership, and Responsible AI

Demonstrates attention to detail and a commitment to building reliable solutions.

Understands that AI-generated outputs require testing and validation.

Approaches data handling, privacy, and AI implementation responsibly.

Takes ownership of assigned tasks and follows through on agreed deliverables.

Why Join Accuris?

Contribute to the development of AI-powered capabilities within a global information and technology business.

Gain practical experience with AI application development and emerging technologies.

Collaborate with experienced engineers and cross-functional product teams.

Build expertise at the intersection of software engineering, artificial intelligence, and real-world technical information.

Develop your career through hands-on projects, continuous learning, and exposure to evolving AI use cases.

Accuris is an equal opportunity employer. We are committed to fostering an inclusive workplace where individuals from diverse backgrounds can contribute, grow, and succeed. Employment decisions are made without discrimination in accordance with applicable laws.