Navis Software India Private Limited seeks an Associate AI Engineer to join our team. In this role, you will support the development of Generative AI agents and AI-based workflows, working under senior engineers to build and optimize impactful solutions.
What You'll Do
- 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 and other generative systems.
- Collaborate on integrating vector databases and retrieval-augmented generation techniques to improve knowledge retrieval.
- Contribute to the documentation, testing, and deployment of GenAI solutions.
- Participate in cross-team meetings and brainstorming sessions, sharing ideas and learning from 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.
What We're Looking For
- Bachelor’s degree (or in final year) in Computer Science, Engineering, Data Science, or a related field; relevant internship or project experience considered.
- Programming proficiency in Python is required.
- Foundational knowledge of GenAI principles like LLMs, RAG, and 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 a strong willingness to learn.
Nice to Have
- Hands-on experience with a cloud platform like 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.
Technical Stack
- Languages: Python, JavaScript, Java, C
- Platforms & Tools: AWS, Git, LangChain
Team & Environment
We value curiosity, a willingness to ask questions, and openness to feedback. Success in this role requires a team-oriented mindset, reliability, attention to detail, and a proactive approach to learning and contributing in our collaborative environment.
Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
