Ai - Lead Founding Engineer

Experience : 5+ years of hands-on experience in software or AI / ML development, ideally with some exposure to leading projects or mentoring others. About The Role We are setting up a dedicated AI department at go4WorldBusiness to power the next generation of intelligent, AI-driven products and systems that transform how global businesses connect. As a Senior AI Engineer, you won’t just be building models—you’ll be shaping how AI is integrated across our platform. You’ll lead by example in designing and deploying robust systems, work with both traditional ML and modern LLM-based architectures, and help set the foundation for how AI is done here—technically and culturally. This is a rare opportunity for someone who wants to stay hands-on with code while also stepping into a role that has real influence, responsibility, and long-term ownership. What You’ll Do Most Of The Time Design, build, and ship production-grade AI systems—ranging from classical ML to modern LLM-powered features. Lead AI projects from idea to execution, including architecture, modeling, evaluation, and deployment. Work with unstructured data, embeddings, vector databases, and real-world data problems. Evaluate and integrate LLM-based tools like OpenAI, LangChain, HuggingFace, or Ollama where appropriate. Collaborate with product and engineering teams to deliver AI capabilities that have real user and business impact. Mentor junior AI engineers and contribute to a culture of fast learning, clean code, and clear thinking. Stay on top of advancements in AI / ML and help guide our strategy with technical insight. What You’ll Need To Qualify Excellent communication and critical thinking—you're as comfortable explaining your decisions as you are making them. Proficiency in Python and familiarity with modern AI / ML libraries (e.G., scikit-learn, PyTorch, TensorFlow). Experience building and deploying ML or LLM-based systems in production environments. Strong understanding of ML workflows, vector search, APIs, and data pipelines. Prior experience taking ownership of projects or mentoring team members. Preferred Skills You don’t need to know all of these — but you should be excited to learn what you don’t : Hands-on with OpenAI, HuggingFace, LangChain, or other LLM-based frameworks Experience with FastAPI, Docker, or MLOps tools like MLflow and Airflow Comfort working with vector databases (e.G., FAISS, Pinecone, Qdrant) Familiarity with prompt engineering, retrieval-augmented generation (RAG), and evaluation of generative outputs Ability to balance trade-offs between performance, cost, and complexity in AI deployments What You’ll Get A chance to lead and build in an AI-first team working on impactful, real-world challenges Opportunity to grow into a leadership role while staying close to the code Industry-best salary with strong growth upside Mentorship, autonomy, and ownership from day one 5-day work week Annual loyalty bonus Six-monthly profit sharing bonus PF and Gratuity