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.