AI Engineer at Tata Teleservices

Navi Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

13 Aug, 26

Salary

0.0

Posted On

15 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Prompt Engineering, LLMs, RAG, Machine Learning, Azure OpenAI, LangChain, LlamaIndex, Vector Databases, API Integration, Random Forest, XGBoost, Semantic Kernel, n8n, Docker, MLOps

Industry

Telecommunications

Description

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 Transforming Businesses through Digitalization Tata Tele Business Services (TTBS), belonging to the prestigious Tata Group of Companies, is the country’s 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 India’s 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.

Responsibilities

Build and deploy AI-powered applications using LLMs, focusing on advanced prompt engineering and RAG-based solutions. Develop lightweight ML models and integrate AI models into APIs and business workflows to deliver rapid POCs.