Roles and Responsibilities:
- Leverage open-source code and libraries to experiment and build innovative solutions.
- Assist in the development and experimentation of AI models using open-source libraries and code.
- Support the AI team in building solutions for vision-based and text-based problems.
- Perform data preprocessing, annotation support, and basic augmentation for object detection/classification datasets.
- Contribute to developing and testing GenAI and LLM-based prototypes.
- Learn and support agentic workflows using OpenAI-compatible APIs.
- Collaborate cross-functionally with the team to understand their AI needs and translate these into effective technical solutions.
Skills required:
- Strong experience in Python and writing fault-tolerant code
- Hands-on experience with the Ultralytics YOLO package for object detection
- Experience with Image Processing technologies (e.g., OpenCV, Dlib, Pillow, NumPy, SIFT)
- Exposure to GenAI/LLM workflows and prompts, preferably using OpenAI's API format
- At least one implemented agentic application or project (e.g., a chatbot agent, SQL agent, or data analysis assistant).
- Good understanding of optimizing data processing pipelines
Brownie Points:
- Exposure to LangChain, Agno, Crew AI, or Hugging Face-based frameworks and models.
- Working knowledge of Git and Docker
- Technical knowledge in Latest Advancement in AI, especially in Vision (e.g., Vits, CLIPs, and LLM models).
What we have to offer:
- Opportunity to work on live AI projects solving real-world problems in logistics and supply chain
- Mentorship from experienced AI engineers and exposure to enterprise-grade deployments.
- Hands-on experience with applied AI in vision and generative technologies.
- Open, learning-focused, performance-driven culture
- Potential to convert into a full-time role based on performance
- Meritocracy-driven, candid startup culture.