Title: Technical Lead-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 CK 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: GEN AI Developer
Experience Required - 6-8 Years
Notice Period – 0-30 Days only
Location - Noida/Pune/Chennai/HYD/Bengaluru/Mumbai
Must Have - Autogen,CrewAI and WrenAI (either of these two)
JD
Python Programming: Deep expertise in Python for building GenAI applications and automation tools.
Productionization of GenAI application beyond PoCs – Using scale frameworks and tools such as Pylint,Pyrit etc.
LLM Frameworks: Proficiency in frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain.
Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data.
Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models.
Fine-tune SLM(Small Language Model) for domain specific data and use cases.
Prompt injection fallback and RCE tools such as Pyrit and HAX toolkit etc.
Anti-hallucination and anti-gibberish tools such as Bleu etc.
Front-End Technologies: Strong knowledge of React, Streamlit, AG Grid, and JavaScript for front-end development.
Cloud Platforms: Extensive experience with Azure, GCP, and AWS for deploying and managing GenAI applications. (any two cloud exp.)
Fine-Tuning Techniques: Mastery of PEFT, QLoRA, LoRA, and other fine-tuning methods. (any one is fine)
LLMOps: Strong knowledge of LLMOps practices for model deployment, monitoring, and management.
Responsible AI: Expertise in implementing ethical AI practices and ensuring compliance with regulations.
RAG and Modular RAG: Advanced skills in Retrieval-Augmented Generation and Modular RAG architectures.
Data Modernization: Expertise in modernizing and transforming data for GenAI applications.
OCR and Document Intelligence: Proficiency in OCR and document intelligence using cloud-based tools.
API Integration: Experience with REST, SOAP, and other protocols for API integration.
Data Curation: Expertise in building automated data curation and preprocessing pipelines