Generative AI Engineer

Anlage Digital; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Anlage Digital is looking for a skilled professional with over 5 years of experience in AI/ML, particularly in Generative AI technologies. The ideal candidate should have a solid foundation in software engineering and a bachelor's degree in a related field.

The role requires expertise in big data technologies and cloud-native engineering, along with strong interpersonal skills to manage complex projects and diverse situations.

Qualifications

• 5+ years of experience with AI/ML, focusing on GenAI.
• Strong software engineering foundation with understanding of OOP, data structures, and algorithms.
• Proven experience with big data technologies and cloud-native engineering.

Skills

GitHub Copilot

AI/ML

Generative AI (GenAI)

LLMs

Python

R

Cloud integration

Education

Bachelor’s degree in computer science or related discipline

Advanced degree (MS) preferred

Tools

Angular

React

NodeJS

Python

.NET Core

Java

Golang

SQL/NoSQL

Job description

Date / Mode of interview - 20th june / Face to Face / Bangalore

Key Skills - GitHub Copilot and Gemini; AI/ML and Generative AI (GenAI); LLMs and GenAI agents/assistants (e.g., LangChain); cloud integration; and Python/R workflows

Key Qualifications:

§ A bachelor’s degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor.

§ Strong software engineering foundation with deep understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices etc.

§ 5+ years of experience with AI/ML, with last 2 years focused on GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc.

§ Proven experience with big data technologies, Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL.

§ Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.

§ Strong understanding of methodologies & tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc.

§ Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.