Tech Lead/Staff Engineer, Fullstack Agentic AITech Lead/Staff Engineer, Fullstack Agentic AI
PrismforceRemote
Bengaluru, IndiaPune, India· 2 months agoStraight from Prismforce’s careers page. Apply on the company site — no recruiter, no middleman.
Node.jsExpress.jsPythonReactNext.jsSQSMongoDBRedisDockerKubernetesPrometheusGrafanaAPIMachine LearningAILLM
Tech Lead/ Staff Engineer- Fullstack Agentic ai
Location: Bengaluru, India; Pune, India
Department: Selectprism
Experience: 10-14
Tech Lead/Staff Engineer – Full Stack Platform
Prismforce · 10–14 Years· Pune ·Full-time
Who We Are
Prismforce is a Vertical SaaS company transforming the Talent Supply Chain for global Technology, Engineering, and IT Services organizations. Our AI-powered platform enables enterprises to improve operational agility, accelerate decisions, and increase profitability through intelligent workforce and talent infrastructure.
We build large-scale, AI-native SaaS systems operating across geographies, languages, tenants, and enterprise-scale workloads.
About the Role
We are looking for a highly experienced Tech Lead or Staff Engineer to lead the architecture and engineering of our high-throughput, multi-tenant SaaS platform.
This is a deeply technical, hands-on leadership role. You will drive architecture decisions, own systems end-to-end, and elevate engineering quality across teams. Meaningful, professional full-stack experience is strongly preferred — not side projects, but production systems youve owned. AI/ML exposure is a bonus, not a requirement.
What Were Looking For
1. Distributed Systems & Platform Architecture
Proven ownership of scalable, highly available SaaS backends. Strong grasp of event-driven design, async processing, CAP theorem, fault tolerance, and horizontal scaling. Hands-on experience with queueing systems (BullMQ, RQ, SQS/SNS, or equivalent).
2. Full-Stack Engineering
Strong backend foundation (Node.js / Express, Python) with meaningful, production-grade frontend experience (React / Next.js preferred). You can own a module end-to-end — architecture, APIs, and UI — not just one layer. Meaningful, production-grade Python experience is expected; the specific workload type matters less than depth in the ecosystem.
3. CS Fundamentals & Runtime Internals
Deep understanding of concurrency, memory management, and CPU profiling. Comfortable diagnosing event loop blocking, heap issues, worker bottlenecks, and resource leaks across runtimes.
4. Database Design & Performance
Advanced schema design across NoSQL (MongoDB preferred) and relational systems, plus Redis for caching. Experience with indexing strategies, aggregation pipelines, sharding, replication, query optimisation, and multi-tenant data isolation.
5. Reliability & Observability
Production-grade systems thinking: distributed tracing, structured logging, Prometheus/Grafana, SLI/SLO definition, incident response, and root-cause analysis. Comfortable with Docker and Kubernetes deployments.
6. Technical Leadership & Mentorship
You lead architectural reviews, drive cross-team design decisions, and mentor engineers on systems thinking, scalability, and production-grade practices. You raise the bar without creating bottlenecks.
Nice to Have
- AI/LLM platform integration or agentic system design
- Voice processing, real-time transcription, or speech pipeline experience
- Vector databases and semantic retrieval
- Infrastructure-as-code (Terraform, Pulumi)
- Open-source contributions or technical writing
The Kind of Engineer Were Looking For
- You think in systems and trade-offs — and you can also ship.
- You take ownership beyond your immediate module.
- You simplify complexity without losing the hard parts.
- You elevate the team through both execution and mentorship.
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