AI Engineer
Company: Zensar
Location: Bangalore South, Karnataka, India
Work arrangement: Hybrid
Employment type: Full-time
Experience: 5-10 years
Education: bachelor degree, postgraduate degree
Posted: 2026-11-10
Responsibilities
Design, develop, and deploy AI/ML models and Generative AI applications including RAG solutions and LLM integrations. Collaborate with cross-functional teams to build scalable AI workflows, monitor model performance, and ensure enterprise-grade governance.
Requirements
Requires a Bachelor's or Master's degree in Computer Science or a related field with 4 to 10 years of experience. Candidates must possess strong proficiency in Python, machine learning algorithms, and modern AI frameworks.
Skills
- Artificial Intelligence
- Machine Learning
- Generative AI
- Large Language Models
- Prompt Engineering
- Python
- SQL
- TensorFlow
- PyTorch
- LangChain
- MLOps
- Natural Language Processing
- Vector Databases
- Cloud Computing
- Data Engineering
- Agile
Benefits
- Inclusive workplace
- Growth opportunities
- Well-being prioritization
About this role
KEY RESPONSIBILITIES
AI & MACHINE LEARNING DEVELOPMENT
* Design, develop, and deploy AI/ML models for business use cases.
* Build and optimize machine learning pipelines from data preparation to model
deployment.
* Develop predictive, classification, recommendation, and NLP solutions.
* Fine-tune and evaluate foundation models and LLMs.
GENERATIVE AI SOLUTIONS
* Design and implement Generative AI applications using LLMs.
* Develop Retrieval-Augmented Generation (RAG) solutions.
* Create prompt engineering frameworks and reusable AI workflows.
* Integrate AI copilots, chatbots, and virtual assistants into enterprise
platforms.
* Implement AI governance, monitoring, and responsible AI practices.
DATA ENGINEERING & INTEGRATION
* Collaborate with Data Engineers and Data Scientists to prepare training
datasets.
* Develop APIs and microservices for AI model consumption.
* Integrate AI services with enterprise systems and cloud platforms.
MODEL DEPLOYMENT & MONITORING
* Deploy AI solutions using MLOps best practices.
* Monitor model performance, accuracy, drift, and reliability.
* Ensure scalability, security, and compliance requirements are met.
RESPONSIBILITIES
REQUIRED TECHNICAL SKILLS
AI / ML TECHNOLOGIES
* Machine Learning Algorithms
* Deep Learning
* Natural Language Processing (NLP)
* Generative AI
* Large Language Models (LLMs)
* Prompt Engineering
* Vector Databases
PROGRAMMING LANGUAGES
* Python (Mandatory)
* SQL
* Optional: Java, JavaScript, or Scala
AI FRAMEWORKS & LIBRARIES
* TensorFlow
* PyTorch
* Scikit-learn
* LangChain
* LlamaIndex
* Hugging Face Transformers
* OpenAI APIs / Azure OpenAI
VECTOR DATABASES
* Pinecone
* Weaviate
* ChromaDB
* FAISS
CLOUD & MLOPS
* Azure AI Services / Azure OpenAI
* AWS Bedrock / SageMaker
* Google Vertex AI
* MLflow
* Docker
* Kubernetes
* CI/CD Pipelines
DATABASE TECHNOLOGIES
* SQL Server
* PostgreSQL
* MongoDB
* Cosmos DB
LEADERSHIP & SOFT SKILLS
* Strong analytical and problem-solving skills.
* Excellent communication and stakeholder management.
* Ability to translate business problems into AI-driven solutions.
* Experience working in Agile/Scrum environments.
* Strong collaboration with cross-functional teams.
PREFERRED QUALIFICATIONS
* Experience building enterprise AI assistants and chatbots.
* Hands-on experience with RAG architectures and vector search.
* Knowledge of Responsible AI, AI Safety, and AI Governance.
* Exposure to Agentic AI frameworks and autonomous AI workflows.
* Experience with Retail, E-commerce, BFSI, Healthcare, or Supply Chain
domains.
EDUCATIONAL QUALIFICATION
* Bachelor's or Master's degree in Computer Science, Artificial Intelligence,
Data Science, or a related field.
PREFERRED CERTIFICATIONS
* Microsoft Azure AI Engineer Associate (AI-102)
* Microsoft Azure Data Scientist Associate (DP-100)
* AWS Machine Learning Specialty
* Google Professional Machine Learning Engineer
* TensorFlow Developer Certificate
KEY COMPETENCIES
* Artificial Intelligence
* Generative AI
* Machine Learning
* Prompt Engineering
* LLM Development
* NLP
* RAG Architecture
* MLOps
* Data Analytics
* Innovation & Problem Solving
QUALIFICATIONS
REQUIRED TECHNICAL SKILLS
AI / ML TECHNOLOGIES
* Machine Learning Algorithms
* Deep Learning
* Natural Language Processing (NLP)
* Generative AI
* Large Language Models (LLMs)
* Prompt Engineering
* Vector Databases
PROGRAMMING LANGUAGES
* Python (Mandatory)
* SQL
* Optional: Java, JavaScript, or Scala
AI FRAMEWORKS & LIBRARIES
* TensorFlow
* PyTorch
* Scikit-learn
* LangChain
* LlamaIndex
* Hugging Face Transformers
* OpenAI APIs / Azure OpenAI
VECTOR DATABASES
* Pinecone
* Weaviate
* ChromaDB
* FAISS
CLOUD & MLOPS
* Azure AI Services / Azure OpenAI
* AWS Bedrock / SageMaker
* Google Vertex AI
* MLflow
* Docker
* Kubernetes
* CI/CD Pipelines
DATABASE TECHNOLOGIES
* SQL Server
* PostgreSQL
* MongoDB
* Cosmos DB
LEADERSHIP & SOFT SKILLS
* Strong analytical and problem-solving skills.
* Excellent communication and stakeholder management.
* Ability to translate business problems into AI-driven solutions.
* Experience working in Agile/Scrum environments.
* Strong collaboration with cross-functional teams.
PREFERRED QUALIFICATIONS
* Experience building enterprise AI assistants and chatbots.
* Hands-on experience with RAG architectures and vector search.
* Knowledge of Responsible AI, AI Safety, and AI Governance.
* Exposure to Agentic AI frameworks and autonomous AI workflows.
* Experience with Retail, E-commerce, BFSI, Healthcare, or Supply Chain
domains.
EDUCATIONAL QUALIFICATION
* Bachelor's or Master's degree in Computer Science, Artificial Intelligence,
Data Science, or a related field.
PREFERRED CERTIFICATIONS
* Microsoft Azure AI Engineer Associate (AI-102)
* Microsoft Azure Data Scientist Associate (DP-100)
* AWS Machine Learning Specialty
* Google Professional Machine Learning Engineer
* TensorFlow Developer Certificate
KEY COMPETENCIES
* Artificial Intelligence
* Generative AI
* Machine Learning
* Prompt Engineering
* LLM Development
* NLP
* RAG Architecture
* MLOps
* Data Analytics
* Innovation & Problem Solving
At Zensar, we’re “experience-led everything”. We are committed to
conceptualizing, designing, engineering, marketing, and managing digital
solutions and experiences for over 130 leading enterprises. We are a company
driven by a bold purpose: Together, we shape experiences for better futures.
Whether for our clients, our people, or the world around us, this belief powers
everything we do. At the heart of our culture is ONE with Client - a set of four
core values that reflect who we are and how we work: One Zensar, Nurturing,
Empowering, and Client Focus.
Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators
across 30+ global locations, including Milpit...
About Zensar
IT Services and IT Consulting · 10,001+ employees · headquartered in Pune, Maharashtra · founded 2001