We are seeking an experienced GenAI Developer (Technical Lead) to drive the development, implementation, and engineering of cutting-edge Generative AI (GenAI) applications using the latest Large Language Models (LLMs) and AI frameworks. This role demands a deep understanding of Python programming, cloud technologies, AI-driven application development, and front-end engineering. The ideal candidate will have hands-on experience in designing scalable, production-grade AI applications and integrating them into real-world use cases.
Experience. 6-8 Years
Key Responsibilities
- Lead the end-to-end development of GenAI applications, ensuring they are scalable, efficient, and production-ready.
- Utilize Python programming for AI-driven automation, application development, and optimization.
- Implement LLM-based frameworks such as AutoGen, CrewAI, LangGraph, LlamaIndex, and LangChain for AI-based solutions.
- Design and architect solutions to handle large-scale structured and unstructured data efficiently.
- Develop and fine-tune Small Language Models (SLMs) for domain-specific use cases.
- Implement multi-modal AI applications with capabilities in text, vision, and speech models.
- Use Prompt Injection Fallback and RCE tools such as Pyrit and HAX toolkit to enhance security.
- Leverage Anti-Hallucination and Anti-Gibberish tools like BLEU to improve model accuracy and reliability.
- Ensure seamless integration of front-end frameworks like React, Streamlit, AG Grid, and JavaScript for AI-powered user interfaces.
- Deploy and manage applications on cloud platforms such as Azure, GCP, and AWS (experience with at least two cloud platforms is required).
- Apply advanced fine-tuning techniques such as PEFT, QLoRA, and LoRA to enhance AI model performance.
- Implement LLMOps best practices for efficient model deployment, monitoring, and lifecycle management.
- Focus on Responsible AI, ensuring compliance with ethical AI practices and regulatory requirements.
- Develop solutions based on Retrieval-Augmented Generation (RAG) and Modular RAG architectures to enhance contextual AI responses.
- Modernize and transform data pipelines for AI applications, ensuring data readiness and quality.
- Integrate OCR and document intelligence tools for AI-driven automation and data extraction.
- Develop and manage API integrations using REST, SOAP, and other communication protocols.
- Automate data curation and preprocessing pipelines for AI-driven insights and analytics.
Must-Have Skills
- Proficiency in Python for AI and automation.
- Strong experience with GenAI frameworks like AutoGen, CrewAI, LangChain, LlamaIndex, and LangGraph.
- Hands-on experience with scalable AI application development beyond Proof of Concept (PoC).
- Expertise in data architecture for handling structured and unstructured data.
- Familiarity with multi-modal AI models including text, vision, and speech.
- Knowledge of AI security practices, prompt engineering, and anti-hallucination techniques.
- Front-end development expertise with React, Streamlit, AG Grid, and JavaScript.
- Experience in at least two major cloud platforms (Azure, GCP, AWS).
- Proficiency in fine-tuning methods such as PEFT, QLoRA, and LoRA.
- Understanding of LLMOps practices for AI model lifecycle management.
- Strong grasp of Responsible AI principles and compliance requirements.
- Hands-on experience with RAG and Modular RAG architectures.
- Expertise in OCR, document intelligence, and API integration.
Why Join Us?
- Be a part of a company that values innovation and technological excellence.
- Work on cutting-edge AI and GenAI projects that impact real-world business applications.
- Collaborate with industry-leading experts in AI, Cloud, and Digital Transformation.
- Experience a work culture that prioritizes diversity, inclusion, and professional growth.
- Get the opportunity to work with a globally recognized organization that fosters innovation and creativity.
If you are passionate about AI, innovation, and building the future of technology, we’d love to have you on board. Apply now and be a part of a team that’s shaping the next wave of Generative AI solutions!