Title:  Technical Specialist-App Development

Area(s) of responsibility

About Birlasoft:
Birlasoft, a powerhouse where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. We take pride in our consultative and design thinking approach, driving societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CKA Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities. Join us in shaping a future where technology seamlessly aligns with purpose.

About the Job - The Technical Lead will focus on the development, implementation, and engineering of GenAI applications using the latest LLMs and frameworks. This role requires hands-on expertise in Python programming, cloud platforms, and advanced AI techniques, along with additional skills in front-end technologies, data modernization, and API integration. The Technical Lead will be responsible for building applications from the ground up, ensuring robust, scalable, and efficient solutions

Job Title - Developer- Gen AI Application Development
Location: Pune/Hyderabad
Educational Background: Bachelor’s degree in computer science, Information Technology, or related field.
Mode of Work- Hybrid
Experience Required - 6+ years relevant

Job Description :

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.

Long Description

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.