Lead Gen AI Engineer

• Lead the design, development, and implementation of scalable Generative AI and Agentic AI solutions
• Design and develop API-based AI applications and integrations using modern LLM technologies
• Build and maintain AI infrastructure, data pipelines, and ETL workflows for structured and unstructured data
• Conduct experiments to evaluate and adopt new LLM models, tools, and capabilities
• Troubleshoot and resolve software, integration, performance, and design-related issues
• Collaborate with architects, engineers, product teams, and stakeholders to deliver
• AI solutions aligned with business requirements
• Mentor and guide junior engineers on AI/ML development best practices
• Ensure AI model quality, performance, scalability, and reliability through testing and validation
• Contribute to continuous improvement, innovation, and AI research initiatives
• Communicate project progress, technical solutions, and outcomes effectively to stakeholders

Requirements

• 5–7 years of experience in AI/ML engineering, software engineering, or data analytics with strong exposure to Generative AI
• Strong programming skills in Python, PySpark, Java, or similar technologies
• Hands-on experience integrating LLMs such as OpenAI GPT, Claude, PaLM, Cohere, or similar models through APIs
• Strong understanding of prompt engineering, Agentic AI, and LLM-based solution design
• Experience with AI orchestration frameworks such as LangChain or similar
• Knowledge of vector databases such as Pinecone, Chroma, or FAISS
• Experience with machine learning frameworks such as TensorFlow or PyTorch
• Strong understanding of software engineering principles, data structures, and algorithms
• Experience working with cloud platforms such as AWS, Azure, or Google Cloud
• Familiarity with data engineering, ETL tools, and scalable AI infrastructure
• Bachelor's or Master's Degree in Computer Science, Engineering, Statistics, Mathematics, or a related field
• Preferred Skills
• Experience with NLP, computer vision, or advanced AI applications
• Understanding of ethical AI practices and bias mitigation strategies
• Experience building enterprise-scale AI solutions and automation workflows
• Exposure to DevOps, MLOps, or AI deployment pipelines

Core Competencies

• Strong analytical thinking and problem-solving abilities
• Ability to innovate and adapt to rapidly evolving AI technologies
• Strong communication and stakeholder management skills
• Leadership and mentoring capabilities
• Ability to deliver scalable and efficient AI solutions in a fast-paced environment