AI Engineer

Job Description –Junior AI Engineer (AI CoE) Position Details

• Title:AI Engineer
• Experience:2–4 years

• 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.

• 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 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

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• 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