Quantalent AI is looking for a SDE-3 (Full-Stack) Product Developer for our client who are a leading SaaS Product company.
Job Title : Lead Software Engineer SDE-3 (Full-Stack) Product Developer.
Experience : 5-8 years.
Location : Bangalore Work From Office (WFO).
Role Snapshot :
As an SDE-3 you will own end-to-end delivery of large product modules across both front-end and back-end.
Youll embed AI & ML capabilities natively into features, mentor engineers, and ship production-grade code that directly impacts procurement teams worldwide.
Key Responsibilities :
Product & Architecture :
- Drive architecture for new features, balancing scalability, cost, and time-to-market.
- Translate product specs into detailed technical designs with clear API contracts.
Full-Stack Delivery :
Build responsive UIs in React / Next.js with TypeScript.Develop microservices in Node.js / Go / Python (FastAPI) backed by Postgres and Kafka.Write automated tests (Jest, PyTest) and own CI / CD pipelines (GitHub Actions, Argo).AI Integration :
Leverage LLMs, vector DBs, and prompt-engineering best practices to power document ingestion, anomaly detection, and chat-style UX.Productionise models via LangChain / BentoML with real-time monitoring.Quality & Observability :
Enforce clean code, code reviews, and design reviews.Instrument services with CloudWatch, Grafana, and SLO dashboards.Leadership :
Independently lead 2-3 person project pods, break down epics, and commit to realistic timelines.Coach SDE-1 / 2s, share best practices, and foster a culture of high ownership.Must-Have Qualifications :
Education : B.E / B.Tech from a Tier-I engineering institute (IIT, BITS, IIIT, NIT, etc.)
Experience : 5-8 years building production SaaS or platform products, with ? 3 years in full-stack ownership.
Technical Depth :
Strong CS fundamentals data structures, algorithms, distributed systems.Expert in at least one modern front-end framework (React / Angular / Vue) and one server-side language (Node.js / Go / Python).Hands-on with SQL & NoSQL, message queues, container orchestration (Docker, Kubernetes).Proven record of shipping AI-powered features or integrating external ML services.Mindset : Bias for action, thrives in 1-to-10 environments, crisp communicator, security-first thinker.
Bonus Points :
Experience with procurement / fintech / ERP integrations.Contributions to OSS (especially LLM tooling).Exposure to event sourcing, CQRS, or domain-driven design.(ref : hirist.tech)