Description

–Junior AI Engineer (AI CoE)

Position Details

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Title:AI Engineer

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Experience:2–4 years

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Location:Mumbai / Flexible

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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

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Build and deploy AI-powered applicationsusing LLMs (OpenAI, Azure OpenAI, etc.)

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Design and implement advanced prompt engineering techniques:

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Few-shot / zero-shot prompting

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Chain-of-thought prompting

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Prompt optimization & evaluation

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Develop RAG-based solutionsusing embeddings and vector databases

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Integrate AI models into APIs, products, and business workflows

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Build lightweight ML models such as:

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Recommendation systems

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Classification/regression models (Random Forest, XGBoost, etc.)

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Perform basic model training, evaluation, and tuning

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Work with tools like LangChain / LlamaIndex / Semantic Kernel /n8n

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Optimize model performance, response quality, cost, and latency

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Rapidly prototype and deliver POCs (2–4 weeks)

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Collaborate with business and engineering teams to solve real problems

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Continuously experiment with emerging AI tools and techniques

Required Skills

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Strong Pythonskills (must-have)

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Strong Prompt Engineering

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Ability to design, test,



and refine prompts for accuracy and reliability

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Understanding of hallucination control and output structuring

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Experience working with LLMs, embeddings, and RAG

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Basic understanding of ML concepts:

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Model training, validation, overfitting

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Hands-on with at least one algorithm (Random Forest / regression etc.)

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Experience with APIs / backend integration

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Familiarity with

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Vector DBs (FAISS / Pinecone / Chroma)

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Prompt testing and evaluation approaches

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Knowledge of cloud platforms(Azure preferred)

Junior AI Engineer

14 May 2026

15:41

Rough Page 1

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Knowledge of cloud platforms(Azure preferred)

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Solid problem-solving + fast learning mindset

Good to Have

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Exposure to LangChain / LlamaIndex

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Experience building chatbots / copilots / AI assistants

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Basic understanding of MLOps / deployment pipelines

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Familiarity with Docker / API deployment

What We Are Looking For

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Fast learner > years of experience

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Strong logical thinking & curiosity

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Ownership-driven and proactive

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Ability to translate ambiguous business problems into AI solutions

KPIs / Success Metrics

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High-quality prompt design leading to accurate AI outputs

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POCs delivered within 2–4 weeks

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Working AI applications in production

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Optimized LLM cost vs performance

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Ability to independently learn and apply new AI techniques

Rough Page

📌 AI Engineer (Navi Mumbai)
🏢 Tata Teleservices
📍 Navi Mumbai