Senior Artificial Intelligence Engineer

4 days ago

New Delhi Delhi India, Delhi go4WorldBusiness.com - Import | Export | Trade | Worldwide. Full time

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 RoleWe 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 TimeDesign, 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 QualifyExcellent 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 SkillsYou 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 frameworksExperience with FastAPI, Docker, or MLOps tools like MLflow and AirflowComfort working with vector databases (e.g., FAISS, Pinecone, Qdrant)Familiarity with prompt engineering, retrieval-augmented generation (RAG), and evaluation of generative outputsAbility to balance trade-offs between performance, cost, and complexity in AI deploymentsWhat You’ll GetA chance to lead and build in an AI-first team working on impactful, real-world challengesOpportunity to grow into a leadership role while staying close to the codeIndustry-best salary with strong growth upsideMentorship, autonomy, and ownership from day one5-day work weekAnnual loyalty bonusSix-monthly profit sharing bonusPF and Gratuity

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