Data Engineer

3shool Technology Consultants; Hyderabad, Pune District, Bengaluru; Hybrid; INR 1,800,000 - 2,800,000; Full time

Job summary

3shool Technology Consultants in Hyderabad, India is seeking an innovative AI Engineer to design, develop, test, and deploy AI-powered solutions that drive business value through automation, analytics, and intelligent applications. You will build scalable ML and generative AI solutions, create data pipelines, integrate LLM apps, and implement MLOps practices to ensure security, reliability, and governance.

Collaborating with data engineers and software teams, you will translate requirements into

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• Strong programming skills in Python and SQL.
• Experience with Large Language Models (OpenAI, Anthropic, Llama, etc.) and prompt engineering.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience with REST APIs, Git, and software development best practices.

Responsibilities

• Design, develop, test, and deploy AI/ML and Generative AI solutions.
• Build and optimize data pipelines for AI model training and inference.
• Develop and integrate LLM applications, AI agents, and RAG solutions.
• Create scalable APIs and AI services for enterprise apps.
• Test agentic solutions and validate outputs for accuracy and reliability.

Skills

Python

SQL

LLM / Prompt engineering

REST APIs

Git

Cloud platforms

Analytical thinking

Communication

Education

Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field

Tools

Snowflake

Databricks

LangChain

LangGraph

Semantic Kernel

Docker

Kubernetes

CI/CD pipelines

Streamlit

Job description

Job description

AI Engineer Job Description Position Summary

We are seeking an innovative AI Engineer to design, develop, test, and deploy AI-powered solutions that drive business value through automation, advanced analytics, and intelligent applications. The AI Engineer will collaborate with cross-functional teams to build and test scalable machine learning and generative AI solutions that enhance operational efficiency and improve customer experiences. Key Responsibilities Design, develop, test, and deploy AI/ML and Generative AI solutions to solve complex business problems. Build 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 applications. Test agentic solutions and validate outputs to ensure accuracy, reliability, and expected behavior. Collaborate with data engineers, software developers, and business stakeholders to translate requirements into AI solutions. Evaluate, fine-tune, and monitor AI models for accuracy, performance, and reliability. Implement MLOps best practices for model deployment, testing, monitoring, and lifecycle management. Ensure AI solutions comply with enterprise security, governance, and responsible AI standards. Stay current with emerging AI technologies and recommend innovative approaches.
Required QualificationsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong programming skills in Python and SQL. Experience with Large Language Models (OpenAI, Anthropic, Llama, etc.) and prompt engineering. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform. Experience with REST APIs, Git, and software development best practices. Strong analytical, problem-solving, and communication skills.
Preferred QualificationsExperience with Snowflake, Databricks, or modern data platforms. Knowledge of vector databases, semantic search, and RAG architectures. Experience with AI orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel. Familiarity with Docker, Kubernetes, and CI/CD pipelines. Experience developing AI-powered analytics dashboards using Streamlit. Preferred Technical Skills Python SQL Machine Learning & Deep Learning Generative AI & Large Language Models (LLMs) Prompt Engineering RAG & Vector Databases Snowflake, Databricks Azure REST APIs & Microservices Git, Docker, Kubernetes Power BI, Tableau, Streamlit Agentic AI testing and output validation Success Measures 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.

Skills

Databricks, Snowflake, Agentic AI, RAG, MLOps, Machine Learning, Generative AI, Power BI, SQL, Python, Vector Databases