Mindbowser
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Pune · On-site · 2-5 Yrs · Aug 25
Information Technology Support Services · 51 to 200 Employees · Pune, India
Mindbowser provides expert technology teams & solutions to busy entrepreneurs and businesses like you. Our objective is to 10X your business by enabling you to trim timelines, fine-tune the foundations of transformative platforms and turn the tide on critical-path projects, thus leading to needle-moving changes and high impact returns. The founders of Mindbowser, Ayush and Pravin, worked on a series of startups before starting Mindbowser. From building a platform for book exchange to intercity Uber, Ayush and Pravin had been trying various startup ideas, when they started seeing a consistent stream of people who had ideas but needed help to execute them. The good thing was that having built, released, and raised funds for their own ideas, they understood the approach for a startup to grow, the importance of user experience, and the different aspects that any entrepreneur has to go through in building a startup. The side gigs soon started taking their majority of the time and that’s when they decided to start a full-service design and development agency. Over the course of the journey, they have worked with entrepreneurs and Fortune 500 companies from throughout the globe, working closely with them, bringing ideas to life. Many of these ideas have gone on to become larger companies, raising funds, employing people, and even getting acquired. All these different experiences and situations have helped us become wiser and capable, and we make sure that all this knowledge is shared with our customers as they take their product journey.
Hiring: Engineering
What employees say
+ Great Place work and grow.
− Very Low salary hike per year
More reviews on the company profile.
Interview experience · Software Engineer
The interview will cover Props, hooks, and general React concepts. The questions are expected to be fairly basic, so it’s a good opportunity to quickly brush up on your React knowledge. There will also be a managerial ro
Average difficulty · Pune · 29 reports
More interview insightsJob description
Overview
AI Engineer (Generative AI & Machine Learning)
Responsibilities
- Develop, test, and deploy scalable machine learning models and AI systems into production following modern engineering practices.
- Design and build AI solutions using RAG pipelines, on-premise LLMs, and agent-based frameworks.
- Develop and refine prompting strategies; collaborate with researchers and engineers to improve GenAI performance and outputs.
- Monitor production models, troubleshoot issues, and continuously improve performance, accuracy, and efficiency.
- 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).
- Clearly communicate technical concepts to internal teams and external stakeholders.
Qualifications
- 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.
- 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.
- Practical experience with:
- RAG pipelines
- On-premise LLMs (e.g., Llama, Mistral)
- Agentic frameworks (e.g., LangChain, AutoGen, CrewAI)
- Familiarity with Docker and Kubernetes
- Exposure to cloud platforms such as AWS, GCP, or Azure
- Strong problem-solving mindset
- Excellent verbal and written communication skills
- Ability to work collaboratively in a fast-paced environment
- Exposure to real-world production AI systems or deployments
- Work from Office (WFO) – Baner, Pune
- Collaborative, fast-paced, and innovation-driven culture
Education
- Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or a related field.
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