Senior AI ML Engineer

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 innovative, 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 innovative

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.