About Company :
Kaleris is a global logistics technology company headquartered in Alpharetta, Georgia, USA, founded in 2004. It specializes in cloud-based supply chain execution and visibility software, serving industries like shipping, transportation, rail, and port operations. The company’s solutions cover yard management, terminal operating systems, transportation management, and maintenance and repair tracking. Kaleris helps organizations improve operational efficiency, reduce delays, and gain real-time visibility across multi-modal logistics networks. Its platform is used by major global brands to connect fragmented systems and optimize asset utilization. By combining advanced technology with industry expertise, Kaleris enables better decision-making and cost savings for its clients. The company is backed by Accel-KKR, a leading private equity firm focused on technology investments. With a strong focus on innovation, Kaleris continues to expand its global presence in the logistics technology sector.
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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.
Salary package : 6 – 8 LPA
Locations : chennai/ Remote
Sector : IT
Job type : Full Time in office/ Remote
Degree : Bachelors degree related to computers
Batch : 2024/25/26
Experience : Not required
Qualifications :
- 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.
Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
