Job Description –Junior AI Engineer (AI CoE) Position Details • Title:AI Engineer • Experience:2–4 years • Location:Mumbai / Flexible • Team:AI Centre of Excellence Job Summary We are looking for a smart, hands-on AI Engineerwith strong fundamentals and high learning agilityto build and deploy modern AI applications. The role focuses on LLMs, Prompt Engineering, and real-world AI solutions, along with lightweight ML model development. Key Responsibilities • Build and deploy AI-powered applicationsusing LLMs (OpenAI, Azure OpenAI, etc.) • Design and implement advanced prompt engineering techniques: ○ Few-shot / zero-shot prompting ○ Chain-of-thought prompting ○ Prompt optimization & evaluation • Develop RAG-based solutionsusing embeddings and vector databases • Integrate AI models into APIs, products, and business workflows • Build lightweight ML models such as: ○ Recommendation systems ○ Classification/regression models (Random Forest, XGBoost, etc.) • Perform basic model training, evaluation, and tuning • Work with tools like LangChain / LlamaIndex / Semantic Kernel /n8n • Optimize model performance, response quality, cost, and latency • Rapidly prototype and deliver POCs (2–4 weeks) • Collaborate with business and engineering teams to solve real problems • Continuously experiment with emerging AI tools and techniques Required Skills • Strong Pythonskills (must-have) • Strong Prompt Engineering ○ Ability to design, test, and refine prompts for accuracy and reliability ○ Understanding of hallucination control and output structuring • Experience working with LLMs, embeddings, and RAG • Basic understanding of ML concepts: ○ Model training, validation, overfitting ○ Hands-on with at least one algorithm (Random Forest / regression etc.) • Experience with APIs / backend integration • Familiarity with: ○ Vector DBs (FAISS / Pinecone / Chroma) ○ Prompt testing and evaluation approaches • Knowledge of cloud platforms(Azure preferred) Junior AI Engineer 14 May 2026 15:41 Rough Page 1 • Knowledge of cloud platforms(Azure preferred) • Strong problem-solving + fast learning mindset Good to Have • Exposure to LangChain / LlamaIndex • Experience building chatbots / copilots / AI assistants • Basic understanding of MLOps / deployment pipelines • Familiarity with Docker / API deployment What We Are Looking For • Fast learner > years of experience • Strong logical thinking & curiosity • • Ownership-driven and proactive • Ability to translate ambiguous business problems into AI solutions KPIs / Success Metrics • High-quality prompt design leading to accurate AI outputs • POCs delivered within 2–4 weeks • Working AI applications in production • Optimized LLM cost vs performance • Ability to independently learn and apply new AI techniques Rough Page

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