Pune, Maharashtra, India
Information Technology
Full-Time
Kaleris
Overview
Job Description
Key Responsibilities
Required:
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.
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.
- 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.
- 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.
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