Job Description & How to Apply Below
Generative AI Engineer | AI & Digital Engineering
We are expanding its AI & Digital Engineering team and looking for a Generative AI Engineer to design, build, and deploy production-grade GenAI solutions for global clients.
What You’ll Work On
Architect and build LLM-powered applications & GenAI workflows
Design and optimize RAG (Retrieval-Augmented Generation) systems
Implement LoRA / QLoRA / PEFT fine-tuning strategies
Integrate LLMs with enterprise data (SQL, APIs, documents, vector DBs)
Deploy scalable AI systems using Docker + Cloud (AWS/Azure/GCP)
Monitor latency, performance, cost optimization & reliability
Ensure AI governance, compliance & responsible AI practices
Collaborate with AI architects & engineering teams for global rollouts
What We’re Looking For
Strong Python programming skills
Hands-on experience with PyTorch / Tensor Flow / Hugging Face
Solid exposure to LLMs, Prompt Engineering & Fine-Tuning
Experience building RAG architectures (FAISS / Pinecone / Chroma
DB)
Familiarity with Lang Chain / Llama Index
Knowledge of Docker & Cloud deployment
Experience building APIs using FastAPI / Flask
Strong understanding of Git & version control
⭐ Preferred
3–5 years of AI/ML experience with GenAI exposure
Experience in production-grade AI deployments
Exposure to multi-agent systems / workflow orchestration
Knowledge of AI security, compliance & data privacy
Why Join?
Work on enterprise-scale GenAI transformation projects
Exposure to global clients across industries
Structured growth within AI & Digital Engineering
Access to advanced AI tools & cloud infrastructure
Competitive compensation + strong engineering culture
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