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Viamagus
Viamagus cover picture
Founded :
2013
Type :
Products & Services
Size :
20-100
Stage :
Bootstrapped

About

We apply the power of AI to transform business operations and deliver measurable outcomes, efficiency, and competitive advantage.
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Company social profiles

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Jobs at Viamagus

Viamagus
at Viamagus
Sandhya M H
Posted by Sandhya M H
Remote, Bengaluru (Bangalore)
8 - 10 yrs
₹30L - ₹40L / yr
Artificial Intelligence (AI)
Generative AI
MERN Stack
MEAN stack
skill iconPython
+1 more

About the Role

Viamagus is a fully AI-driven engineering organization.

We're hiring a Technical Architect who has built real systems, deployed them to production, and meaningfully integrated AI into their engineering practice. You'll lead architecture across all client engagements.

Must-Have: Engineering Foundation

  • Bachelor's in CS/Engineering or related field (Master's preferred)
  • 8+ years of software development, 3+ years in an architect/lead role
  • Built systems from scratch and taken them to production - owned the full lifecycle, not just slices
  • Multiple integration experiences - third-party APIs, enterprise systems (SAP, Salesforce, ERP), messaging/event buses, legacy modernization
  • Built frameworks for scalability - reusable platforms, SDKs, shared libraries, and internal developer tooling adopted across teams
  • Technology-agnostic strength - strong across at least one modern backend stack, one frontend framework, and one cloud platform; able to pick the right tool for the job rather than defaulting to favourite
  • AWS or Azure cloud architecture - VPC design, IAM, container orchestration, cost optimization
  • DevOps fluency: Docker, Jenkins/GitHub Actions, IaC (Terraform/CDK)
  • Performance tuning, distributed tracing, structured logging, APM tools (Datadog, New Relic, or equivalent)
  • AppSec collaboration - OWASP Top 10, VAPT remediation, secrets management, compliance (ISO/SOC 2/HIPAA exposure a plus)

Must-Have: AI-Era Awareness

You will be expected to architect systems that use AI effectively and lead engineers who do the same. Working knowledge of several of these is required:

  • AI-assisted development - daily driver of Claude Code, Cursor, Copilot, or equivalent; can articulate where they help, where they fail, and how to get better outcomes from them
  • LLM integration patterns - understanding of when to use OpenAI, Anthropic, Gemini, or open-source models; familiarity with API usage, streaming, function calling, structured outputs
  • RAG basics — vector DBs (pgvector, Pinecone, Qdrant), embeddings, chunking, retrieval tradeoffs — enough to review and guide RAG implementations
  • Agentic systems awareness — conceptual understanding of tool use, multi-step agents, and frameworks like LangGraph or CrewAI
  • MCP (Model Context Protocol) — awareness of what it is and where it fits
  • Prompt engineering fundamentals — versioning prompts, structured outputs, guardrails, handling hallucinations
  • AI evaluation and cost awareness — how to measure quality, latency, and cost of LLM-powered features
  • Curiosity and experimentation mindset — has tried things beyond ChatGPT in a browser tab

Responsibilities

Architecture & Delivery

  • Design scalable, secure architectures for client engagements
  • Lead technical due diligence on proposals - feasibility, effort estimation, risk flagging
  • Drive production readiness: incident management, observability, release processes
  • Review and approve high-impact design decisions across projects

Team & Stakeholders

  • Mentor 15–20 engineers across backend, mobile, and cloud teams
  • Conduct architecture reviews, code reviews, and technical retrospectives
  • Engage directly with client CTOs/architects on solution design and technical escalations
  • Translate business objectives into architectural decisions and vice versa

Quality, Risk, Compliance

  • Enforce security-first design - threat modelling, data classification, AI-specific risks (prompt injection, PII leakage, model supply chain)
  • Ensure compliance readiness for ISO 27001, SOC 2, HIPAA, where applicable
  • Identify and mitigate delivery risks early; escalate with proposed mitigations

Nice to Have

  • Contributions to open-source projects or AI tooling
  • Experience with real-time sync (CRDTs, Realm, Ditto) or offline-first architectures
  • Published technical content - blogs, talks, GitHub
  • Google/AWS/Azure certifications (bonus, not substitute)


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