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India
Hybrid
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Associate Business Intelligence Analyst based in India.
We are seeking an enthusiastic, early-career technology professional to join a dynamic digital technology team focused on AI and Generative AI innovation.
In this role, you will contribute to the development of intelligent enterprise applications, AI assistants, chatbots, and knowledge-based solutions.
You will work with Python, Large Language Models (LLMs), APIs, and emerging AI technologies to solve real-world business challenges.
Collaborating with experienced engineers, architects, and business stakeholders, you will gain hands-on exposure to enterprise AI development.
The position offers opportunities to explore prompt engineering, Retrieval-Augmented Generation (RAG), vector databases, and AI integration.
You will also contribute to web applications and enterprise platforms while developing your software engineering expertise.
This is an exciting opportunity to build your AI career in a collaborative, innovative, and globally connected environment.
Support the development and implementation of AI, Machine Learning, and Generative AI solutions for business applications.
Collaborate with senior engineers to build LLM-powered applications, chatbots, AI assistants, and knowledge management solutions.
Develop Python scripts, applications, APIs, and reusable AI components.
Explore and implement prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, vector databases, and LLM integrations.
Assist with structured and unstructured data preparation, processing, and analysis.
Integrate AI capabilities into enterprise applications using REST APIs and other technologies.
Support application testing, debugging, performance optimization, and deployment activities.
Collaborate with UX/UI designers and software development teams to create intuitive AI-powered user experiences.
Contribute to AI-enabled features within enterprise portals and platforms, including Liferay.
Support responsive web development using HTML, CSS, JavaScript, and Bootstrap.
Participate in Agile ceremonies, code reviews, technical discussions, and documentation.
Adhere to enterprise standards for software development, data privacy, information security, and responsible AI.
Bachelor’s or Master’s degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, or a related discipline.
At least 1 year of experience in software development, AI/ML, data science, or a related technical field.
Good working knowledge of Python and fundamental software development concepts.
Basic understanding of AI/ML, Natural Language Processing (NLP), Generative AI, and Large Language Models.
Familiarity with prompt engineering, RAG, embeddings, and vector search concepts.
Understanding of REST APIs, JSON, HTTP, and application integration.
Basic knowledge of SQL and relational databases.
Understanding of object-oriented programming and software engineering fundamentals.
Familiarity with Git or other version control tools.
Strong analytical thinking, problem-solving, and debugging abilities.
Effective communication, teamwork, and collaboration skills.
Preferred qualifications: Exposure to LangChain, LlamaIndex, or similar AI frameworks; experience with LLM-powered applications, chatbots, or AI assistants; understanding of model evaluation, hallucinations, semantic search, and responsible AI; familiarity with vector databases; knowledge of Liferay Portal/DXP and concepts such as portlets, widgets, sites, pages, content management, roles, and permissions; experience integrating enterprise applications through REST APIs; knowledge of HTML, CSS, JavaScript, and Bootstrap; and exposure to Agile development practices.
Hybrid working arrangement, combining onsite and offsite work.
Group health insurance.
Group term life insurance.
Group personal accident insurance.
18 days of annual vacation leave.
12 days of annual contingency leave.
Meal coupons and meal vouchers.
Employee scholarship programme.
Car lease programme.
National Pension Scheme (NPS).
Leave Travel Allowance (LTA).
Fuel and vehicle maintenance allowance, including driver wages where applicable.
Work-life balance initiatives.
Opportunities for professional growth and hands-on experience with emerging AI technologies.
Collaborative work environment with access to global teams and digital tools.
Background verification required for external hires in India. Drug screening applies to operations positions.