AI/ML Engineer
Invi Grid Inc. · Not specified · onsite · Posted 51d ago
Not disclosed3–5 yrsfulltimeSourced from
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About this role
Join Invi Grid to help build a game-changing cloud security solution alongside former security heads and cloud experts. We are looking for a hands-on coder passionate about building cutting-edge AI security tools.
Must-Have Experience
- Hands-on building LLM and agentic applications: tool use / function calling,memory management, structured output, and multi-step agent workflows.
- 3 years experience as AI/ML engineer.
- Strong RAG and retrieval experience: chunking, embeddings, vector and hybrid search, and knowing when retrieval is the wrong tool.
- Prompt engineering focused on constraining and validating model output: JSON schema, structured output, and guardrails against hallucinated or unsafe output.
- Evaluation discipline: building eval sets and ground truth, measuring quality with real metrics, and catching failure modes before customers do.
- AI safety and security instincts: prompt-injection defense, safe handling of model output (e.g. LLM-generated SQL), and per-customer data isolation.
- Production deployment of AI services: cloud, containerized, and scalable. Comfort with foundation-model providers (Anthropic, Gemini, Bedrock).
- Proficiency in Python (primary), including API service work (FastAPI or similar).
- Strong analytical, problem-solving, and written-communication skills.
Culture & Mindset
- Ability to thrive in a fast-paced, dynamic startup environment and meet deadlines.
- Create and maintain clear design documentation.
- Values: Humility, teamwork, integrity, and resilience.
Compensation & Benefits
- Work Mode: 100% Remote
- Employment Type: Full-Time
- Salary: ₹12–17 LPA (based on experience, skills, and overall fit)
- Notice Period: Immediate to 15 days preferred
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Skills
AI safety and security instinctsAPI service workcloud containerized and scalableLLM and agentic applicationsproduction deployment of AI servicesRAG and retrieval experiencevector and hybrid searchPrompt EngineeringchunkingMemory managementEmbeddingsFunction CallingJSON Schemamulti-step agent workflowsPrompt injection defensePythonEvaluation disciplineFastAPIstructured output