smart-working-solutions - Smart Working Solutions - Senior AI Engineer (Remote, Full-Time) [AS237]
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Requirements
• 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. • Experience building AI-powered document or workflow automation platforms. • Experience working with retrieval-augmented generation (RAG) systems. • Familiarity with serverless architecture patterns. • Experience with PostgreSQL and data modelling. • Exposure to frontend technologies and lightweight UI implementation. • Experience working in startup or small-team environments. • Familiarity with CI/CD pipelines and cloud deployment automation.
Responsibilities
• 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.
Benefits
• 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
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