GEN AI Sr. Developer

GEN AI Sr. Developer_Full-time_Bangalore/Pune/Navi Mumbai/Noida/Hyderabad/Chennai

Job Title
: GEN AI Sr. Developer

Experience Required
: 6-8 Years

Location
: Bangalore/Pune/Navi Mumbai/Noida/Hyderabad/Chennai

Employment Type
: Full-time

Primary Skills:
Gen Ai, Azure Open Ai, Python and which are mentions in cheat sheet

Job Description:

Senior Developer-GenAI Application shall be focused on coding, developing, and implementing GenAI applications using fine-tuned LLMs (Large Language Models) and SLMs (Small Language Models). This role emphasizes hands-on expertise in open-source frameworks, libraries, and cloud tools, with the ability to quickly prototype and demonstrate GenAI applications. The developer shall work under the guidance of senior team members to deliver high-quality, scalable, and innovative solutions.

Key Responsibilities:

• Coding and Development
  : Write clean, using Lang chain/Lang graph and Auto Gen frameworks efficiently, and maintainable code for GenAI applications using Python and open-source frameworks.
• Fine-Tuning Models
  : Fine-tune LLMs and SLMs using techniques like PEFT, LoRA, and QLoRA for specific use cases.
• Open-Source Frameworks
  : Work with frameworks like Hugging Face, LangChain, and others to build GenAI solutions.
• Azure AI Expertise
  : Design and deploy scalable AI solutions leveraging a comprehensive suite of Azure AI services.
• Integration and Deployment:
  Integrate generative AI models into existing enterprise systems and applications. Implement robust MLOps practices, CI/CD pipelines (e.g., Azure DevOps, GitHub, Jenkins), and containerization (Docker, Kubernetes) for seamless deployment. Knowledge of AWS would be an added advantage.
• Data Preprocessing
  : Build and maintain data preprocessing pipelines for training and fine-tuning models.
• API Integration
  : Integrate REST, SOAP, and other APIs for data ingestion, processing, and output delivery.
• Model Evaluation
  : Evaluate model performance using metrics and benchmarks and iterate to improve results.
• Prototyping
  : Quickly prototype and demonstrate GenAI applications to showcase capabilities and gather feedback.
• Front-End Development
  : Collaborate with front-end developers to integrate GenAI capabilities into user-friendly interfaces using tools like Streamlit or React.
• Version Control
  : Use Git and other version control systems to manage code and collaborate with team members.
• Technical Documentation
  : Create clear and concise documentation for code, models, and processes.
• Collaboration
  : Work closely with data scientists, engineers, and product managers to deliver high-impact solutions.
• Learning and Growth
  : Continuously learn and stay updated with the latest advancements in GenAI, open-source tools, and cloud technologies.
• Debugging and Optimization
  : Identify and fix bugs, optimize code, and improve application performance.

Required Skills:

• Python Programming
  : Strong proficiency in
  CORE Python
  OOP
  for developing GenAI applications.
• Fine-Tuning Techniques
  : Hands-on experience with fine-tuning methods like PEFT, LoRA, and QLoRA.
• Open-Source Frameworks
  : Expertise in Hugging Face, LangChain, LlamaIndex, and other open-source libraries.
• Cloud Platforms
  : Familiarity with Azure, GCP, and AWS for deploying and managing GenAI models.
• Data Preprocessing
  : Skills in building and maintaining data preprocessing pipelines.
• API Integration
  : Experience with REST, SOAP, and other protocols for API integration.
• Model Evaluation
  : Knowledge of metrics and benchmarks for evaluating model performance.
• Front-End Tools
  : Basic knowledge of front-end tools like Streamlit, React, or JavaScript for UI integration.
• Version Control
  : Proficiency in Git and Version Control best practices.
• Technical Documentation
  : Ability to create clear and concise technical documentation.
• Problem-Solving
  : Strong analytical and problem-solving skills to debug and optimize code.
• Collaboration
  : Excellent teamwork and communication skills to work effectively in cross-functional teams.
• Rapid Prototyping
  : Ability to quickly prototype and demonstrate GenAI applications.
• Continuous Learning
  : A growth mindset with a passion for learning and staying updated with the latest GenAI trends and technologies.

Good to have:

• Document Intelligence
  : Proficiency in OCR and document intelligence using open-source and cloud tools.