Senior Software Engineer

Senior Software Engineer – FDE (Full-Stack / AI Focus) Location: Remote / Chennai / Mumbai Employment Type: Full-time Role Overview We are seeking a Senior/Staff Software Engineer to design and build scalable full-stack systems that deliver measurable business value. This role involves working closely with cross-functional teams across business, product, and engineering to: Discover and define problem statements Navigate ambiguity Rapidly prototype and deliver production-ready solutions A key focus area is building AI-powered applications , including RAG systems, LLM integrations, and retrieval pipelines , while contributing to reusable frameworks and engineering standards. Key Responsibilities 1. Business & Stakeholder Engagement Develop deep understanding of business operations and domain context Translate business requirements into technical solutions Collaborate with senior stakeholders and manage complex expectations Build strong trust-based relationships across teams 2. Delivery & Execution Lead rapid development initiatives using a prototype-first approach Build end-to-end applications across different technology stacks Define clear transition strategies from prototype to production Ensure consistent, high-speed delivery with quality 3. Generative AI & RAG Systems Architect and implement production-grade RAG systems Work on advanced retrieval techniques: Hybrid search Reranking Query expansion Build evaluation pipelines , datasets, and experimentation frameworks Establish best practices for LLM integrations and AI systems 4. Technical Leadership Lead multi-team technical initiatives Mentor engineers and enforce engineering best practices Drive architecture decisions and system design standards Balance technical debt with delivery priorities 5. AI-Augmented Development Implement and promote AI-assisted development workflows Evaluate tools like Copilot, Cursor, etc. Ensure quality and validation of AI-generated code 6. System Design & Scalability Design complex, multi-component systems end-to-end Make architecture decisions for large-scale applications Drive performance, scalability, and reliability improvements 7. Reliability & SRE Practices Define system reliability and observability standards Lead incident management and post-mortem processes Implement monitoring, alerting, and resilience strategies 8. Documentation & Process Establish documentation standards and templates Promote spec-driven development practices Drive lean and efficient engineering processes Define metrics for performance and delivery improvement 9. Team & Collaboration Build and mentor high-performing engineering teams Foster inclusive and collaborative work culture Handle complex interpersonal dynamics effectively Core Competencies & Behaviors Ownership mindset: Focus on outcomes over deliverables Polymath approach: Ability to work across domains and technologies Strong communication: Ability to engage from engineers to leadership Curiosity-driven: Comfortable working in ambiguous environments Systems thinking: Ability to connect business and technical systems Required Skills & Experience Experience 7+ years of professional software engineering experience Technical Skills Full-Stack Development Strong experience in Python and JavaScript/TypeScript Frontend frameworks: React / Next.js Backend API development Cloud & DevOps Experience with AWS / Azure / GCP Infrastructure as Code: Terraform / CloudFormation CI/CD pipelines (GitHub Actions or similar) Containerization & deployment strategies Databases Strong knowledge of: Relational DBs (PostgreSQL) NoSQL / document databases Key-value stores (Redis) AI / Generative AI Hands-on experience with: LLM integrations Vector databases RAG systems AI evaluation pipelines Engineering Practices Code quality, testing, and review standards System design and architecture Technical debt management Additional Requirements Experience leading technical initiatives and mentoring teams Strong stakeholder management skills Experience working in ambiguous and fast-paced environments Ability to deliver solutions quickly with high impact Nice to Have Experience in consulting or embedded engineering models Exposure to domain-driven design and product thinking Prior experience in AI-driven product developmen