Job Title: AI Engineer
Experience Level: 5- 9 Years
Work Location: Bangalore, Hyderabad, Chennai, Trivandrum, Kochi, Noida, Pune,Gurgaon

We are seeking an innovative and results-driven AI Engineer to design, develop, test, and deploy AI-powered solutions that deliver business value through automation, advanced analytics, and intelligent applications.

The ideal candidate will collaborate with cross-functional teams to build scalable Machine Learning (ML) and Generative AI solutions that enhance operational efficiency, improve customer experiences, and accelerate digital transformation initiatives.

Key Responsibilities

Design, develop, test, and deploy AI/ML and Generative AI solutions to solve complex business challenges.
Build, maintain, and optimize data pipelines to support AI model training and inference.
Develop and integrate Large Language Model (LLM) applications, AI agents, and Retrieval-Augmented Generation (RAG) solutions.
Create scalable APIs and AI services for enterprise-grade applications.
Test agentic AI solutions and validate outputs to ensure accuracy, reliability, and expected behavior.
Collaborate with data engineers, software developers, product teams, and business stakeholders to translate requirements into AI-driven solutions.
Evaluate, fine-tune, and monitor AI models for performance, accuracy, scalability, and reliability.
Implement MLOps best practices for deployment, monitoring, testing, and lifecycle management of AI models.
Ensure AI solutions comply with enterprise security, governance, privacy, and Responsible AI standards.
Stay current with emerging AI technologies, frameworks, and industry trends, and recommend innovative approaches.

Required Qualifications

Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science , or a related field.
Strong programming skills in Python and SQL .
Hands-on experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Llama, or similar platforms.
Experience with prompt engineering techniques.
Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP) .
Experience developing and consuming REST APIs .
Proficiency with Git and software development best practices.
Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

Experience with modern data platforms such as Snowflake and Databricks .
Knowledge of vector databases , semantic search, and RAG architectures.
Hands-on experience with AI orchestration frameworks such as:
- LangChain
- LangGraph
- Semantic Kernel
Familiarity with:
- Docker
- Kubernetes
- CI/CD pipelines
Experience developing AI-powered dashboards and applications using Streamlit .

Preferred Technical Skills

Programming Data

Python
SQL

Artificial Intelligence Machine Learning

Machine Learning
Deep Learning
Generative AI
Large Language Models (LLMs)
Prompt Engineering

AI Architecture

Retrieval-Augmented Generation (RAG)
Vector Databases
Semantic Search
Agentic AI Development
Agentic AI Testing and Output Validation

Cloud Data Platforms

Microsoft Azure
Snowflake
Databricks

Software Engineering

REST APIs
Microservices
Git
Docker
Kubernetes
CI/CD

Visualization Analytics

Streamlit
Power BI
Tableau

Success Measures

The successful candidate will:

Deliver scalable AI solutions that improve business outcomes.
Automate manual processes through AI-driven workflows.
Improve model accuracy, performance, and reliability.
Successfully test agentic workflows and validate outputs against expected results.
Partner effectively with stakeholders to translate business needs into AI capabilities.
Continuously evaluate and adopt emerging AI technologies to drive innovation.

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.

ML Engineer I

Job Description

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