Senior AI/ML Engineer

Company: VectorStack

Location: Bengaluru (On-site)

Experience: 5–7 Years

Employment Type: Full-time

Notice Period: Immediate Joiners

About VectorStack

VectorStack is a dynamic technology company focused on delivering cutting-edge, high-impact digital solutions. We specialize in AI-driven products, enterprise applications,

and technology consulting services. Our mission is to help businesses accelerate growth through cutting-edge technology, exceptional service, and continuous innovation.

Job Summary

We are seeking a highly skilled Senior AI/ML Engineer with 5

7 years of experience in AI/ML engineering, backend development, API design, database architecture, and production-grade system integration. The ideal candidate will possess strong problem-solving skills, hands-on implementation expertise, and experience building scalable

AI-powered applications and backend systems.

Key Responsibilities

- Design, develop, and maintain scalable backend services, APIs, and AI-powered applications using

Python and related technologies.

- Lead the implementation, deployment, and integration of AI/ML models into production environments.
- Build robust REST APIs, service layers, and backend architectures for web and mobile applications.
- Design and optimize relational and NoSQL database solutions for performance and scalability.
- Collaborate with frontend, product, DevOps, and QA teams to deliver end-to-end solutions.
- Convert business and technical requirements into scalable technical architectures and implementation plans.
- Mentor junior engineers, conduct code reviews, and establish engineering best practices.




- Troubleshoot and resolve complex production issues related to backend systems, APIs, databases, and AI workflows.
- Leverage AI-assisted development tools to improve productivity while maintaining code quality and security.
- Contribute to system architecture, sprint planning,

technical documentation, and engineering governance.

Required Skills

Backend Development

- Strong expertise in Python and backend development frameworks.
- Working knowledge of Java and multi-language development environments.
- Strong understanding of RESTful APIs, microservices architecture, and backend integration patterns.

Databases

- Hands-on experience with SQL and NoSQL databases such as PostgreSQL, MySQL, MongoDB, Redis, or equivalent technologies.
- Strong knowledge of database design, optimization,

and data access patterns.

AI/ML & GenAI

- Experience integrating and deploying AI/ML models in production environments.
- Understanding of Generative AI, Large Language

Models (LLMs), intelligent automation, and AI-powered applications.

- Experience with model orchestration, deployment workflows, and AI system integration.

Cloud & DevOps

- Experience with AWS and cloud-native application deployment.
- Knowledge of Docker, Kubernetes, CI/CD pipelines,

and infrastructure management.

- Familiarity with monitoring, logging, and production support processes.





Engineering Excellence

- Strong logical reasoning and problem-solving abilities.
- Ability to own projects from requirement gathering through production deployment.
- Excellent debugging, documentation, and stakeholder communication skills.

Qualifications

- Bachelor's degree in Computer Science, Engineering,

Information Technology, Data Science, or a related field.

- 5–7 years of professional experience in AI/ML

Engineering, Backend Development, or Software

Engineering.

- Proven experience building scalable backend systems and production-ready applications.
- Strong experience with API development, database backed systems, and cloud deployments.
- Ability to work independently, lead technical initiatives,

and mentor engineering teams.

Preferred Qualifications

- Experience with FastAPI, Flask, Django, Spring Boot, or similar frameworks.
- Experience with Docker, Kubernetes, AWS services,

and cloud-native architectures.

- Exposure to vector databases, embeddings, RAG pipelines, AI agents, recommendation systems, and

LLM orchestration.

- Experience with observability tools, monitoring solutions, and performance optimization.
- Experience designing scalable architectures and reusable engineering frameworks.

Why Join VectorStack?

- Work on cutting-edge AI, Machine Learning, and

Generative AI projects.

- Collaborate with a highly skilled and creative engineering team.
- Build impactful products used by real-world customers.
- Opportunity to lead architecture and technical decision-making.
- Fast-paced environment with significant growth opportunities.

📌 Senior AI ML Engineer (Bengaluru)
🏢 Vectorstack Technologies
📍 Bengaluru