Requirement Name / Title

AI Engineer

Band

B3

Experience

7- 9 Years

Work Location

Pune - Kharadi - 3 days WFO

Shift

General

Notice

30 days

Mandatory Skills

✅ Python

✅ Generative AI

✅ LLMs

✅ RAG

✅ LangChain

✅ Prompt Engineering

✅ Azure OpenAI

✅ Azure AI Services / AI Foundry

✅ Vector Databases

✅ AI Agents / Agentic AI

✅ Machine Learning

✅ Docker & Kubernetes

✅ CI/CD & MLOps

✅ Production AI Deployment

Preferred Skills

➕ Semantic Kernel

➕ PyTorch / TensorFlow

➕ GitHub Copilot

➕ AWS / GCP Exposure

➕ AI-102 Certification

➕ AKS

➕ AIOps

/ Roles & Responsibilities (in Detail)

AI Engineer

Job Summary

We are seeking an innovative AI Engineer to design, develop, and deploy AI-powered applications and intelligent automation solutions. The ideal candidate will combine expertise in software engineering, machine learning, generative AI, cloud platforms, and MLOps to deliver scalable, secure, and production-ready AI solutions that drive business value.

Key Responsibilities

AI Solution Development

- Design and develop AI-powered applications and services.
- Build and deploy Generative AI solutions using LLMs.
- Develop Retrieval-Augmented Generation (RAG) systems using enterprise knowledge sources.
- Build AI agents and agentic workflows for business automation.
- Create intelligent chatbots, copilots, recommendation engines, and decision-support systems.

Machine Learning & AI

- Train, fine-tune, and evaluate machine learning models.
- Select appropriate AI models based on cost, performance, security, and business requirements.
- Implement prompt engineering and context management strategies.
- Develop model evaluation and testing frameworks.
- Monitor model performance and continuously improve AI solutions.

Engineering & Operations

- Build scalable APIs and microservices for AI inference.
- Deploy AI solutions on Azure, AWS, or Google Cloud.
- Implement MLOps and AIOps practices.
- Create CI/CD pipelines for AI applications.
- Ensure governance, security, responsible AI, and compliance standards are met.





Collaboration

- Partner with product managers, architects, and business stakeholders.
- Work with data scientists, cloud engineers, and platform teams.
- Translate business requirements into AI-enabled solutions.

Required Technical Skills

Programming Languages

- Python (mandatory)
- SQL
- JavaScript / TypeScript
- C# or Java (preferred)

AI & Machine Learning

- Machine Learning
- Deep Learning
- Natural Language Processing (NLP)
- Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- RAG Architecture
- Embeddings & Vector Search
- AI Agents / Agentic AI

Frameworks & Libraries

- PyTorch
- TensorFlow
- LangChain
- Semantic Kernel
- Hugging Face
- Scikit-learn

Cloud & DevOps

- Microsoft Azure AI Services
- Azure OpenAI Service
- Azure AI Foundry
- Azure Machine Learning
- Azure Kubernetes Service (AKS)
- Docker
- Kubernetes
- GitHub Copilot
- CI/CD Pipelines

Data & Storage

- Vector Databases
- Azure AI Search
- SQL / NoSQL Databases
- Data Engineering Fundamentals

Qualifications

- Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, or related discipline.
- 3+ years of software engineering or AI development experience.
- Experience building and deploying production-grade AI applications.
- Knowledge of cloud-native architectures and scalable systems.

Preferred Certifications

- Microsoft Certified: Azure AI Engineer Associate (AI-102)
- Microsoft Applied Skills: Build Generative AI Solutions
- Microsoft Azure Fundamentals (AZ-900)
- Azure Data Scientist Associate (DP-100)

Key Performance Indicators (KPIs)

- AI solution adoption rate
- Model accuracy and reliability
- Response latency
- Production stability
- AI cost optimisation
- Business value delivered through AI automation
- Responsible AI compliance metrics

Contemporary AI Engineer Skills (2026 Focus)

Recent AI engineering guidance highlights the following as high-value capabilities:

- LLM application development
- RAG implementation
- Context engineering
- Agent design
- AI-native testing
- Evaluation frameworks
- Vector databases
- Responsible AI
- Production deployment and monitoring

📌 Azure AI Engineer - Wipro (Pune)
🏢 Trigent Software
📍 Pune