AI Engineer

Tata Tele Business Services (TTBS)

Posted: 3 months ago
Openings: 10
Applicants: 0

Job 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 Engineer with strong fundamentals and high learning agility to 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 applications using 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 solutions using 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 Python skills (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)

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

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.