NST Cyber - Your Trusted Enterprise CTEM Partner
Website:
nstcyber.ai
Job details:
Technical Lead - Agentic AI Platform
Remote - India | Full-Time | Team Size: 10-12 Engineers | Experience: 8+ Years
Role Overview
We are seeking a hands-on Technical Lead to lead the architecture, development, and delivery of a cloud-native Agentic AI platform. The role requires strong technical depth across backend engineering, frontend technologies, AWS, Kubernetes, distributed systems, AI agents, data platforms, and DevOps. The candidate will lead a team of 10-12 engineers while remaining actively involved in architecture, design reviews, critical implementation, troubleshooting, and engineering governance.
Core Technical Ownership & Engineering Competencies
• Individual Ownership & Architectural Leadership: Take personal ownership of core system design, architecture, and module deliverables, demonstrating independent technical leadership rather than relying purely on generalized team contributions.
• Quantified System Design & Scale: Architect high-throughput distributed systems, establishing clear performance baselines, request volume handling, and quantifiable latency optimizations.
• Advanced Backend & Framework Depth: Engineer robust backend services utilizing advanced framework patterns, including custom dependency injection setups, middleware, custom guards, and interceptors in FastAPI and NestJS.
• Cloud Infrastructure & Orchestration: Directly configure and manage production cloud infrastructure on AWS, leveraging Amazon EKS, Fargate, ECS, and Karpenter for dynamic container provisioning and reliability.
• Database Internals & Performance Tuning: Optimize data persistence layers by tuning database internals, including complex indexing strategies, query execution plans, schema design, and transaction handling.
• Event-Driven & Message Queue Architecture: Design and operate resilient event-driven pipelines using Apache Kafka, managing producer-consumer topologies, event streams, and dead-letter queue (DLQ) retry workflows.
• Software Quality & Engineering Governance: Uphold rigorous engineering standards through automated test coverage, test-driven development (TDD), CI/CD quality gates, and code review excellence.
Strategic Leadership & Key Responsibilities
• Strategic Architecture & Roadmap: Shape the long-term architectural vision and technical roadmap of the Agentic AI platform, making sound decisions across scalability, security, performance, cost, and delivery.
• Engineering Leadership & Mentorship: Lead, mentor, and foster technical excellence across a high-performing team of 10-12 engineers, building strong accountability and structured execution.
• Governance & Security Standards: Establish enterprise-grade governance frameworks for API design, system observability, auditability, and production security.
• Agentic AI & Workflow Orchestration: Direct the implementation of advanced AI agent workflows utilizing LangGraph and ReAct patterns, memory systems, tool execution, RAG, and execution guardrails.
• Cross-Functional Collaboration: Partner closely with Product, Security, and Engineering stakeholders to align platform reliability, cost telemetry, and readiness objectives.
Required Technical Skills
• Strong hands-on experience with Python, FastAPI, and NestJS.
• Experience with TypeScript and Angular.
• Strong AWS experience, including Amazon EKS, Karpenter, Amazon ECS, AWS Fargate, IAM, VPC, S3, and CloudWatch.
• Strong understanding of Kubernetes, Docker, autoscaling, and containerized workloads.
• Experience with Agentic AI platforms and hands-on LangGraph experience.
• Good understanding of Reason and Act (ReAct) patterns, LLM integration, tool calling, agent memory, RAG, and HITL workflows.
• Experience with execution guardrails (NeMo Guardrails) and OpenLLMetry / OpenTelemetry.
• Strong experience with MongoDB, graph databases, vector databases (Qdrant), and Apache Kafka.
• Good understanding of CI/CD, infrastructure as code, monitoring, security, and production operations.
Desired Certifications
• AWS Certified Solutions Architect or Developer
• MongoDB Certification
• AI, Machine Learning, Generative AI, or LLM-related Certification
• Kubernetes Certification (e.g., CKA or CKAD)
Click on Apply to know more.
