AI Engineer

• –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

About Us

Transforming Businesses through Digitalization

Tata Tele Business Services (TTBS), belonging to the prestigious Tata Group of Companies, is the countrys leading enabler of connectivity and communication solutions for businesses. With services ranging from connectivity, collaboration, cloud, security, IoT, and marketing solutions, TTBS offers the largest portfolio of ICT services for businesses in India. With an unwavering focus on customer-centricity and innovation, TTBS continues to garner recognition from customers and peers alike.

Our People Shape Our Journey Ahead

We are Indias leading enabler of digital connectivity and technology solutions for businesses - a feat possible only because we are fueled by the dedication and passion of our people. We welcome the finest talent and believe in nurturing and mentoring them to rise into leadership roles, while standing tall on our ethics and values.