Generative AI Engineer

1 day ago

New Delhi, India Bristlecone Full time

Solution Architecture & Design- Lead the design and development of advanced AI solutions leveraging LLMs, GenAI models, AI agents, and hybrid AI approaches. - Architect scalable, secure, and efficient AI systems integrating traditional ML with emerging Generative AI capabilities. - Ensure AI solutions align with enterprise-grade performance, compliance, and ethical AI standards.Thought Leadership & Innovation- Act as a subject matter expert (SME) in Generative AI, LLMs, and Agentic AI; contribute to technical strategy and AI roadmaps. - Represent the organization in conferences, whitepapers, patents, and client discussions as a recognized AI thought leader. - Explore, evaluate, and integrate cutting-edge research, frameworks, and toolkits in AI and ML.Engineering & Delivery- Provide hands-on guidance for model fine-tuning, prompt engineering, multi-agent orchestration, and system optimization. - Lead proof-of-concept (PoC) development and transition of AI solutions into production. - Collaborate with product managers, data scientists, engineers, and stakeholders to deliver enterprise-ready AI solutions.Mentorship & Leadership- Mentor and guide engineering teams on best practices in AI solutioning, research translation, and applied engineering. - Foster a culture of innovation, experimentation, and continuous learning within the AI/ML engineering group.Required Qualifications- Experience: 7–12 years in Artificial Intelligence and Machine Learning, with 3–4 years dedicated to Generative AI, LLMs, and Agentic AI.Technical Expertise:- Strong understanding of LLM architectures (e.g., GPT, LLaMA, Mistral, Claude, Gemini, etc.), fine-tuning, and deployment. - Experience in AI agent frameworks, multi-agent systems, and orchestration tools. - Solid background in machine learning algorithms, deep learning, NLP, computer vision, and reinforcement learning. - Proficiency in Python, PyTorch, TensorFlow, Hugging Face, LangChain, vector databases, and cloud AI platforms (AWS, Azure, GCP). - Leadership Skills: Proven track record of architecting AI solutions at scale and leading cross-functional teams. - Research & Innovation: Demonstrated ability to stay ahead of AI trends and convert emerging techniques into practical solutions.Strong communication skills with the ability to articulate AI concepts to both technical and executive stakeholders

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