AI Engineer (Generative AI & Machine Learning) - Immediate Joiner

Mindbowser Inc; Pune District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading technology firm in Pune is seeking a motivated AI Engineer to enhance its Artificial Intelligence team. This role involves developing and deploying robust AI systems using technologies like Retrieval-Augmented Generation and on-premise large language models. Applicants should have 2-3 years of experience in software development or machine learning, along with a degree in computer science or a related field. Strong problem-solving skills and familiarity with cloud environments are essential. The position is office-based in Baner, Pune.

Qualifications

• 2-3 years hands-on experience in software development, machine learning, or AI engineering.
• Strong understanding of Data Structures and Algorithms (DSA).
• Basic knowledge of Computer Vision is a plus.

Responsibilities

• Develop, test, and deploy scalable machine learning models and AI systems.
• Design AI solutions using RAG pipelines and agent-based frameworks.
• Monitor production models and troubleshoot issues.
• Contribute to defining AI development standards and practices.

Skills

Machine Learning

Software Development

Problem Solving

Communication Skills

Education

Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science

Tools

Docker

Kubernetes

AWS

GCP

Azure

Job description

Location: Pune, India (Work From Office – Baner)

Experience: 2 – 3 Years

Employment Type: Full-Time

About the Role

We are looking for a highly motivated and innovative AI Engineer to join our growing Artificial Intelligence team. This role sits at the intersection of data science and software engineering, focusing on building, deploying, and scaling modern AI systems.

You will work hands‑on with cutting‑edge technologies such as Retrieval-Augmented Generation (RAG), Agentic Frameworks, and On-Premise Large Language Models (LLMs) to develop robust, enterprise‑grade applications.

If you enjoy solving complex problems, working in an Agile environment, and building impactful AI solutions, this role is for you.

Key Responsibilities

AI/ML Development & Deployment

• Develop, test, and deploy scalable machine learning models and AI systems into production following modern engineering practices.

Generative AI Implementation

• Design and build AI solutions using RAG pipelines, on‑premise LLMs, and agent-based frameworks.

Prompt Engineering & Innovation

• Develop and refine prompting strategies; collaborate with researchers and engineers to improve GenAI performance and outputs.

System Reliability & Optimization

• Monitor production models, troubleshoot issues, and continuously improve performance, accuracy, and efficiency.

Standards & Best Practices

• Contribute to defining AI development standards, governance, and security practices within the organization.
• Actively participate in Agile/Scrum processes across the full Software Development Life Cycle (SDLC).

Cross‑functional Communication

• Clearly communicate technical concepts to internal teams and external stakeholders.

Required Qualifications & Skills

Education

• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.

Experience

• 2–3 years of hands‑on experience in software development, machine learning, or AI engineering.
• Strong understanding of Data Structures and Algorithms (DSA).
• Basic knowledge of Computer Vision is a plus.

Generative AI Expertise

• Practical experience with:
• Agentic frameworks (e.g., LangChain, AutoGen, CrewAI)

DevOps & Cloud

• Familiarity with Docker and Kubernetes
• Exposure to cloud platforms such as AWS, GCP, or Azure

Soft Skills

• Strong problem‑solving mindset
• Excellent verbal and written communication skills
• Ability to work collaboratively in a fast‑paced environment

Bonus Skills (Good to Have)

• Experience working on AI solutions in the Healthcare domain
• Exposure to real‑world production AI systems or deployments
• Work from Office (WFO) – Baner, Pune
• Collaborative, fast‑paced, and innovation‑driven culture