Associate AI Engineer at Kaleris

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

29 Sep, 26

Salary

0.0

Posted On

01 Jul, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Generative AI, Large Language Models, RAG, Vector Databases, LangChain, AWS, Git, JavaScript, Java, C, Prompt Engineering, AI Agents, Cloud Services, Front-end Development, Back-end Development

Industry

Logistics;Transportation;Supply Chain and Storage

Description

Job Description: 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. Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. At Kaleris, we encourage creativity, delight in innovation, and foster opportunities to grow. We believe every move matters, especially career moves. We’re building the connected, visible, sustainable, and reliable global supply chain of the future. And we're looking for the best and brightest people to join our team.

Responsibilities

Support the development of GenAI agents and AI-based workflows while optimizing prompts for Large Language Models. Collaborate on integrating vector databases and RAG techniques to enhance knowledge retrieval in AI applications.