Gen AI Staff Engineer (Immediate Joiner)

Key Responsibilities GenAI Application Development: Design, develop, and deploy advanced GenAI agentic applications, leveraging leading LLMs (GPT, Mistral, LLaMA, Claude, Gemini) and specialized frameworks like LangGraph and Claude Code. Agentic Workflow Optimization: Build and refine agentic workflows with Prompt and Context engineering techniques. Model Training and Fine-Tuning: Utilize Reinforcement Learning with Verifiable Rewards (RLVR) to train and fine-tune domain-specific and code generation models. Quality Assurance and Safety: Rigorously evaluate GenAI outputs for common issues such as hallucinations, bias, and safety risks. Develop and implement robust guardrails to ensure reliability. Cross-functional Collaboration: Partner with engineering teams to integrate and operationalize agentic workflows, focused on boosting overall productivity and performance. Research and Optimization: Maintain current knowledge of the latest AI research and advancements to continuously optimize agentic workflows, improve model performance, enhance inference speed, and manage token costs effectively. Required Qualifications Skills 6-10 years of total professional experience in software development, with a minimum of 2+ years specialized in Generative AI (GenAI) and Large Language Model (LLM) development. Strong proficiency in Python is mandatory. Mandatory hands-on expertise in Context Engineering and Advanced Prompt Engineering techniques. Proven experience with key machine learning/deep learning libraries such as Hugging Face Transformers, PyTorch, or TensorFlow. Deep knowledge and practical experience with Agentic and Coding Frameworks like LangGraph, AutoGen, CrewAI, Claude Code, and Gemini CLI. Solid understanding of Transformer-based LLM architectures and Embedding models. Bachelors or Master;s degree in Computer Science, Artificial Intelligence, or a related technical field. Core Competencies Strong analytical and problem-solving skills to manage complex technical challenges. Excellent communication skills to translate complex AI concepts to non-technical stakeholders. Ability to work independently and mentor junior team members. .