Gen Ai Developer

EDGE Executive Search; Gurugram District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

EDGE Executive Search is seeking a Gen AI developer to design, develop, and implement scalable AI and Generative AI solutions that enhance customer experience, efficiency, and decision-making. The role emphasizes production-grade applications, data pipelines, and multi-step reasoning with Retrieval-Augmented Generation.

The ideal candidate will have 1–2 years in AI engineering, strong Python/SQL skills, experience with large datasets and LLMs, and practical knowledge of MLOps and observability

Qualifications

• Master's degree in a STEM field is required.
• 1–2 years of industry experience in AI engineering, data science, analytics, or ML, with production exposure.
• Strong Python and SQL, Git, and experience with large relational datasets and AI tooling.

Responsibilities

• Design, develop, test, and deploy robust AI and Generative AI solutions.
• Build and deploy production-grade workflows, apps, and data pipelines using Python, SQL, and relational databases.
• Perform advanced exploratory analysis and feature engineering on structured and unstructured data.
• Implement prompt engineering, conduct LLM experiments, and evaluate outputs for quality and safety.
• Develop and scale Retrieval-Augmented Generation pipelines and agentic AI frameworks for multi-step reasoning and automation.
• Apply AI observability and MLOps practices and communicate findings and risks to stakeholders.

Skills

Python

SQL

LLMs

Prompt engineering

MLOps

Git

Embeddings

RAG

Agentic AI

Excel

PowerPoint

Education

Master of Science in a STEM field

Tools

Microsoft SQL Server

Snowflake

BigQuery

Teradata

Job description

The Job

As a Gen Ai developer, you will designs, develops, and implements scalable AI and Generative AI solutions that improve customer experience, business efficiency, and decision-making.

The role builds production-grade applications and workflows using Python, SQL, large language models, Retrieval-Augmented Generation, and agentic AI frameworks.

It applies advanced analysis, prompt engineering, evaluation, and observability practices to deliver reliable and useful AI capabilities.

• Design, develop, test, and deploy robust AI and Generative AI solutions that improve customer experience, operational efficiency, and business decision-making.
• Build and deploy production-grade workflows, applications, and data pipelines using Python, SQL, relational databases, and modern AI tools.
• Perform advanced exploratory analysis and feature engineering across structured and unstructured datasets to support scalable AI and Generative AI use cases.
• Implement prompt engineering strategies, conduct LLM experiments, and apply output evaluation frameworks to ensure quality, relevance, accuracy, safety, and business usefulness.
• Develop and scale Retrieval-Augmented Generation pipelines and integrate agentic AI frameworks for multi-step reasoning and workflow automation.
• Implement AI observability and MLOps practices to monitor model behavior and system reliability; collaborate with cross-functional teams and communicate findings, risks, and recommendations to stakeholders.

Qualifications

Whats needed to succeed (Minimum Qualifications)

Candidates must hold a Master of Science or equivalent postgraduate degree in a STEM field.

• Data Science, Statistics, Engineering, Computer Science, Operations Research, or a related STEM field.
• 1–2 years of industry experience in AI engineering, data science, analytics, or machine learning, including practical experience moving models or analytical workflows toward production.
• Strong Python and SQL proficiency; software engineering fundamentals, including Git; experience with large relational datasets and platforms such as Microsoft SQL Server, Snowflake, BigQuery, or Teradata; practical knowledge of LLMs, prompt engineering, embeddings, RAG, and agentic AI; AI observability and MLOps; strong analytical problem-solving; ability to create clear Excel and PowerPoint presentations