GEN AI Developer

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

Job Title : GEN AI Developer

Experience Required : 4-6 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 :

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.