We are looking for an enthusiastic and motivated Associate Generative AI (GenAI) Team Member to help design, build, and enhance innovative AI-powered applications. This is an entry-level role, ideal for candidates with academic or internship experience in GenAI or related fields who are eager to grow their skills in a collaborative team environment.
Key Responsibilities
Support the development of GenAI agents and AI-based workflows under the supervision of senior engineers.
Assist in creating, optimizing, and evaluating prompts for Large Language Models (LLMs) and other generative systems.
Collaborate on integrating vector databases and retrieval-augmented generation (RAG) techniques to improve knowledge retrieval in AI applications.
Contribute to the documentation, testing, and deployment of GenAI solutions.
Participate in cross-team meetings and brainstorming sessions, sharing ideas and learning from experienced colleagues.
Help develop internal tools and automation tasks to streamline processes.
Stay current with emerging technologies by reading documentation, attending training, and participating in internal seminars.
Qualifications
Required:
Bachelor’s degree (or in final year) in Computer Science, Engineering, Data Science, or related field; relevant internship or project experience considered.
Programming proficiency in Python required; familiarity with JavaScript, Java, or C is a plus.
Foundational knowledge of GenAI principles (LLMs, RAG, agent workflows—via coursework, internships, or personal projects).
Familiarity with cloud services (AWS preferred) and version control (Git).
Effective verbal and written communication skills and willingness to learn.
Preferred:
Hands-on experience with a cloud platform (AWS, Azure, or GCP).
Practical exposure to frameworks like LangChain or vector databases and basics of front-end/back-end development.
Participation in research, hackathons, or open-source GenAI/ML projects.
AWS, cloud, or AI certifications are a plus.
Soft Skills
Curiosity, willingness to ask questions, and openness to feedback.
Team-oriented mindset and ability to work in a collaborative environment.
Reliable, detail-oriented, and proactive about learning and contributing.