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
Skills Required
- 2-4 years of experience in AI engineering or a related field
- Strong Python skills
- Strong prompt engineering skills, including prompt design, testing, refinement, hallucination control, and output structuring
- Experience with LLMs, embeddings, and retrieval-augmented generation
- Understanding of model training, validation, and overfitting
- Hands-on experience with at least one machine learning algorithm, such as Random Forest or regression
- Experience with APIs and backend integration
- Familiarity with vector databases such as FAISS, Pinecone, or Chroma
- Knowledge of cloud platforms, preferably Azure
- Strong problem-solving ability, logical thinking, curiosity, and fast learning mindset
- Exposure to LangChain or LlamaIndex
- Experience building chatbots, copilots, or AI assistants
- Basic understanding of MLOps and deployment pipelines
- Familiarity with Docker and API deployment
What We Do
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, 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.
