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Company Description Anuva AI Labs is focused on building the next generation of AI security products that help organizations develop, deploy, and operate AI applications with confidence. As enterprises adopt Generative AI, AI agents, and autonomous workflows, the company delivers AI-native security solutions that protect modern systems across the full lifecycle, from secure development to production runtime. Were Hiring in Hyderabad: AI Engineering, AI Security, & Cloud Engineering Were growing our engineering team in Hyderabad, India and looking for talented, hands-on engineers who are excited about building products at the intersection of AI, Agentic Systems, Cybersecurity, and Cloud-Native Engineering . Competitive compensation for all roles. We are hiring for three roles: 1. AI Engineer Agentic AI & Knowledge Graphs Location: Hyderabad, India Experience: 35 years Were looking for an AI Engineer who enjoys building real-world AI agents and agentic applications , not just experimenting with models. What were looking for: Experience with LangChain and LangGraph Experience with agent frameworks such as NVIDIA NeMo Agent Toolkit and Google ADK Hands-on experience designing and building AI agents, multi-agent systems, and agent workflows Experience with Knowledge Graphs, Graph RAG, and LLM + structured knowledge architectures Understanding of RAG, tool calling, MCP, evaluation, and agent orchestrationStrong Python and software engineering skills 2. AI Security Architect / Engineer Location: Hyderabad, India Experience: 57 years Were looking for someone passionate about solving the emerging security challenges around AI agents, GenAI applications, and agentic systems . This is a hands-on engineering role we want someone who can research a security problem, prototype solutions, evaluate technologies, and turn ideas into working product capabilities. What were looking for: Strong understanding of AI/LLM and Agentic AI security Experience securing AI agents, GenAI applications, APIs, tools, and data access Knowledge of frameworks such as MITRE ATT&CK, D3FEND and ATLAS; OWASP Top 10 / LLM Top 10; NIST security and AI risk frameworks Understanding of prompt injection, tool misuse, excessive agency, data leakage, authorization, and runtime security risksExperience with threat modeling and security architecture Ability and willingness to prototype, test, evaluate, and build security controls hands-on 3. DevSecOps & Cloud Engineer Location: Hyderabad, India Experience: 57 years Were looking for a hands-on engineer who can build and operate the cloud foundation behind modern AI and security products . What were looking for: Experience designing, deploying, and managing applications on AWS, Azure, or GCP Strong hands-on experience with Kubernetes, Docker, Helm, and Infrastructure as Code (Terraform/Bicep) Experience deploying production web applications, APIs, AI/LLM services, vector databases, and cloud-native data platforms Building secure CI/CD pipelines using GitHub Actions and/or Azure DevOps Strong understanding of cloud networking, IAM, secrets management, and workload security Experience with observability, monitoring, logging, scalability, and high-availability architectures Strong automation and troubleshooting skills Who Were Looking For Across all three roles, we value people who are: Hands-on builders who enjoy turning ideas into working prototypes and production systems Comfortable working in a fast-moving product/startup environment Curious and willing to experiment with emerging AI technologies High-agency problem solvers who can work independently and collaborate across AI, security, and platform engineering Excited about building products in areas where the technology and the security challenges are still evolving If one of these roles sounds like you or someone you know please DM me or share your profile/resume. Wed love to talk. #Hiring .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.