Senior GenAI Developer

2 weeks ago


Noida, Uttar Pradesh, India FCI CCM Full time ₹ 15,00,000 - ₹ 28,00,000 per year

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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