AI Full stack Engineer
1 week ago
**AI Full Stack Engineer ( Python & LLM ) - WFH
THIS IS FULLY REMOTE WORKING OPPORTUNITY**
Pls read the JD carefully and only proceed if you have the relevant experience.
If you are interested and fulfill the below mentioned criteria then please share below information below.
EMAIL ID
Years of relevant experience
CCTC/ECTC
Notice period
Updated resume mentioning all the listed skills.
Location: Remote, any city in India
What you will do
- Independently design, develop, and deliver robust, production-ready Artificial Intelligence (AI) and Machine Learning (ML) solutions;
- Utilize strong expertise in Python to find complex patterns in data, create and refine robust statistical models, and perform detailed data exploration, data visualization, and data mining;
- Leverage experience with LLMs (Large Language Models), LangChain, LangGraph, and Agentic AI frameworks to enhance solution capabilities and innovation;
- Implement, deploy, and maintain cloud-native AI/ML solutions;
- Manage and communicate effectively with stakeholders, translating complex technical concepts into clear business implications.
Must haves
- 5+ years of experience in the software development;
- Bachelor's or master's degree in computer science, Mathematics, Engineering, or a related field;
- Ability to manage and communicate effectively with stakeholders;
- Proactive communication with objective approach towards project deliverables;
- Experience in finding patterns in data and creating statistical models, data exploration, data visualization, and data mining;
- Experience in developing AI and ML solutions and delivering them to production;
- Very good hands-on working experience in Python and NLP;
- Prior experience or projects in LLMs, LangChain, LangGraph, and Agentic AI is a plus;
- Familiarity with text processing;
- Understanding of good software development practices: Test-Driven Development (TDD), refactoring, pair-programming, solid design;
- Self-motivated, proactive, and demonstrating an exceptional drive towards delivery;
- Experience with cloud-based solutions, especially on Azure or Google Cloud Platform (GCP);
- Knowledge of DevOps practices and tools for continuous integration and deployment;
- Upper-intermediate English level.
Nice to haves
- Knowledge of financial industry;
- Knowledge of Private Assets and ecosystems.
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