AI Engineer

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