
Senior GenAI Developer
2 weeks ago
Broad Function: We are seeking aGen AI Developerwith proven experience in integrating Generative AI tools into daily development driving innovation and productivity. The ideal candidate will have hands-on experience using tools like GitHub Copilot, ChatGPT, Amazon Code Whisperer, or similar platforms for 50% or more of their daily development tasks.Roles and Responsibilities: - Interpret briefs and create high-quality, GenAI-assisted code that meets business objectives.
- Lead the design and development of Java-based applications with microservices architecture.
- Use GenAI tools in at least 50% of your development workflow to enhance productivity, code quality, and innovation.
- Collaborate with the Product Manager/Architect to define deliverables and technical strategy.
- Drive the integration of AI/ML capabilities into products using libraries like TensorFlow, PyTorch, or Hugging Face.
- Guide teams through refactoring and codebase optimization using AI-assisted insights.
- Conduct peer code reviews, ensuring usage of GenAI-generated suggestions where appropriate.
- Mentor and motivate junior developers in both traditional and GenAI-enhanced coding practices.
- Collaborate in agile development environments and CI/CD pipelines
- Implement NLP
capabilities with Hugging Face Transformers and spaCy.
- Integrate AI/ML pipelines
with CI/CD tools like Jenkins, GitLab CI, and CircleCI.
- Requirements
Desired Candidate Profile:
- Java 8+, Spring Boot, Hibernate, JPA, Microservices, MongoDB, Redis, Kafka
- Docker, Kubernetes, AWS, GitLab, JIRA, Confluence
- Strong understanding of cloud-native and distributed systems
- Proficiency in integrating AI tools (e.g., GitHub Copilot, ChatGPT, Bard, etc.) into coding workflows
- Familiarity with AI/ML libraries and large language model APIs
- Experience with GenAI-based code generation, documentation creation, and API development.
- Proficient in AI/ML
libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn.
- Experienced in MLOps
frameworks such as MLflow, Kubeflow, and DataRobot.
- Knowledge of data
analysis frameworks like Pandas, NumPy, and SciPy for model development.
- *Benefits
*The company offers a range of employee benefits including:**
- *Cashless medical insurance for employees, spouse and children
- Accidental insurance coverage
- Life insurance coverage
- Complementary lunch coupons
- Company-paid transportation
- Access to online learning platforms such as Udemy and LinkedIn Learning
- Retirement benefits including Provident Fund (PF) and Gratuity
- Paternity & Maternity Leave Benefit*
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