- 7+ years of hands-on experience in designing, developing, and implementing software solutions.
- At least 2 years of experience leading technical teams or projects.
- Demonstrated expertise in delivering AI-driven or GenAI-based solutions.
- Knowledge of cloud services (Azure, GCP, AWS)
- Core Technologies: Expertise in Generative AI, Python, LangChain, Prompt Engineering, and embedding models (e.g., BERT, GPT-based models).
- Software Engineering: Strong experience in software development with technologies such as .NET, Java, React, or Angular.
- Cloud Platforms: Hands-on experience with cloud environments like AWS, Azure, or Google Cloud.
- Leadership: Proven ability to lead technical teams, mentor junior engineers, and manage project deliverables.
- SDLC Tools: Familiarity with tools for app modernization, unit testing, and coding standards review.
- Lead end-to-end development of GenAI-based solutions, including architecture design, coding, and deployment.
- Mentor and guide a team of engineers, including fresh graduates, to deliver high-quality solutions.
- Collaborate with cross-functional teams to integrate GenAI tools into existing SDLC processes.
- Drive innovation in prompt engineering, embedding models, and LangChain-based applications.
- Ensure adherence to coding standards, best practices, and cloud-native development principles.
- Provide technical expertise in troubleshooting and optimizing GenAI solutions.
- Experience with DevOps practices and CI/CD pipelines.
- Knowledge of Agile methodologies and project management tools (e.g., JIRA, Confluence).
- Certifications in AI/ML, cloud platforms, or relevant technologies.
|