
51 - 200 employees
🤝 B2B
☁️ SaaS
🎯 Recruiter
B2B • SaaS • Recruitment
Smart Working is a recruitment service specializing in sourcing and providing top-tier software developers from around the world to meet the needs of businesses. With a robust vetting process that includes technical assessments and background checks, Smart Working ensures that clients receive highly skilled developers adept in various programming languages and frameworks. The company focuses on flexible and remote hiring solutions, allowing businesses to efficiently scale their development teams while benefiting from significant cost savings.
🕒 May 11
Improve your chances of getting an interview by checking your resume score before you apply.

51 - 200 employees
🤝 B2B
☁️ SaaS
🎯 Recruiter
B2B • SaaS • Recruitment
Smart Working is a recruitment service specializing in sourcing and providing top-tier software developers from around the world to meet the needs of businesses. With a robust vetting process that includes technical assessments and background checks, Smart Working ensures that clients receive highly skilled developers adept in various programming languages and frameworks. The company focuses on flexible and remote hiring solutions, allowing businesses to efficiently scale their development teams while benefiting from significant cost savings.
• Design, build, and implement an end-to-end AI-powered tender response platform. • Develop and maintain backend services and AI workflows using AWS-native technologies. • Build and manage infrastructure using Terraform and cloud-native best practices. • Implement AI and retrieval workflows leveraging AWS Bedrock and vector database technologies such as PGvector. • Design and orchestrate scalable workflows using AWS Step Functions. • Collaborate closely with senior technical stakeholders to deliver project milestones within tight timelines. • Contribute to architecture decisions, backend integrations, and deployment workflows. • Ensure solutions are scalable, maintainable, and production-ready. • Troubleshoot and resolve technical issues across infrastructure, backend services, and AI components. • Support testing, deployment, and optimisation activities throughout the project lifecycle. • Operate effectively in a fast-paced environment with high ownership and minimal oversight.
• 6+ years of software engineering or backend engineering experience. • Strong hands-on experience with AWS cloud services in production environments. • Experience working with AI/LLM-related cloud tooling and workflows. • Experience with Terraform and Infrastructure as Code practices. • Experience building backend systems and distributed workflows. • Hands-on experience with AWS Step Functions. • Familiarity with vector database technologies such as PGvector or similar vector search solutions. • Experience integrating AI services such as AWS Bedrock or similar LLM platforms. • Strong backend engineering and API integration experience. • Ability to independently deliver technical solutions end-to-end. • Strong troubleshooting, debugging, and problem-solving skills. • Comfortable working in a highly delivery-focused environment with tight timelines. • Strong communication and collaboration skills.
• Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter) • No Weekend Work: Real work-life balance, not just words • Day 1 Benefits: Laptop and full medical insurance provided • Support That Matters: Mentorship, community, and forums where ideas are shared • True Belonging: A long-term career where your contributions are valued • 5-Day AI Training: Hands-on AI Academy onboarding to get you building with AI from day one
Apply Now🕒 May 1
Senior Software AI Engineer developing autonomous agents for Deep Sync's AI-powered data solutions. Leading the architecture of agentic workflows in a fully remote team in India.
AWS
Docker
Flask
Kubernetes
Python
React
🕒 April 23
Python Engineer developing scalable applications and AI-driven systems at Shuru Technologies. Working remotely to design and implement robust solutions on Google Cloud Platform with Vertex AI.
Cloud
Google Cloud Platform
Microservices
Python
🕒 April 23
Python Engineer building scalable applications and AI systems on Google Cloud Platform. Collaborating with teams to optimize performance and ensure code quality in a remote-first culture.
Cloud
Google Cloud Platform
Microservices
Python
🕒 April 17
Senior AI Engineer developing and deploying AI solutions through Python and React at SoftClouds, driving innovation in AI technologies.
Azure
ElasticSearch
Python
PyTorch
React
Tensorflow
🕒 April 16
Senior AI Engineer building AI systems for Jeeves's financial platform. Collaborating with teams to ship AI-powered features from prototype to production.
AWS
Azure
Cloud
Google Cloud Platform
GRPC
JavaScript
Kafka
Microservices
Node.js
Postgres
Python
Go