Uplers
Website:
uplers.com
Company:
https://www.linkedin.com/company/weareuplers
Seniority: Not Applicable
Industries: Technology, Information and Internet
Job details:
Experience: 8.00 + years
Salary: INR 4000000-4500000 / year (based on experience)
Expected Notice Period: 30 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Remote
Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: NST Cyber)
(*Note: This is a requirement for one of Uplers' client - NST Cyber)
What do you need for this opportunity?
Must have skills required:
Agentic, rag, MongoDB, Python
NST Cyber is Looking for:
Role Overview:
NST Cyber is 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.
Key Responsibilities:
- Own the architecture and technical roadmap of the Agentic AI platform.
- Lead and mentor a team of 10-12 engineers.
- Design scalable, secure, multi-tenant, cloud-native services.
- Build backend services using Python and FastAPI.
- Guide frontend development using Next.js, TypeScript, and AngularJS.
- Design and operate workloads on AWS using EKS, Karpenter, ECS, and Fargate.
- Build agent workflows using LangGraph and ReAct patterns.
- Implement agent orchestration, tool execution, memory, RAG, HITL, and guardrails.
- Design integrations with MongoDB, graph databases, Qdrant, and Apache Kafka.
- Establish engineering standards for APIs, events, testing, observability, security, and deployment.
- Work closely with DevOps, SRE, product, and security teams.
- Ensure platform auditability, cost controls, telemetry, reliability, and production readiness.
Required Technical Skills:
- Strong hands-on experience with Python and FastAPI
- Experience with Next.js, TypeScript, and AngularJS
- Strong AWS experience, including:
- Amazon EKS
- Karpenter
- Amazon ECS
- AWS Fargate
- IAM, VPC, S3, and CloudWatch
- Strong understanding of Kubernetes, Docker, autoscaling, and containerised workloads
- Experience with Agentic AI platforms
- Hands-on experience with LangGraph
- Good understanding of Reasoning and Acting (ReAct) patterns
- Experience with LLM integration, tool calling, agent memory, RAG, and HITL workflows
- Experience with execution guardrails, such as NeMo Guardrails
- Experience with OpenLLMetry and OpenTelemetry
- Strong experience with MongoDB
- Experience with graph databases and vector databases, such as Qdrant
- Strong experience with Apache Kafka and event-driven systems
- Good understanding of CI/CD, infrastructure as code, monitoring, security, and production operations
Critical Leadership Skills
- Architecture and Technical Decision-Making - Ability to make sound decisions across scalability, security, performance, cost, and delivery.
- Team Leadership and Mentoring - Ability to guide, mentor, delegate, and build accountability across a 10-12-member engineering team.
- Delivery Ownership - Ability to plan milestones, manage risks, remove blockers, and deliver complex initiatives predictably.
- Engineering Quality and Governance - Ability to establish standards for design, code quality, testing, security, observability, and documentation.
- Stakeholder Communication - Ability to communicate effectively with engineering, product, security, operations, and senior leadership.
Preferred Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- Experience building cloud-native, multi-tenant SaaS platforms
- Experience with AI, cybersecurity, automation, or agent-based platforms
- Experience leading production systems with strong auditability and security requirements
Desired Certifications:
- AWS Certified Solutions Architect, Developer, or DevOps Engineer
- MongoDB certification
- AI, Machine Learning, Generative AI, or LLM-related certification
- Kubernetes certification, such as CKA or CKAD
Interview Process:
- R1– team member (in-depth technical + design exercise, mostly in R1)
- R2– Pradeep (2 problem-solving exercises + leadership/fitment checks)
- R3- Cultural Round with CTO.
How to apply for this opportunity?
- Step 1: Click On Apply! And Register or Login on our portal.
- Step 2: Complete the Screening Form & Upload updated Resume
- Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
Click on Apply to know more.
