Senior AI Engineer
- Posted 2 months ago
- Be among the first 10 applicants
Job Description
This role is for one of our clients
Company Name: Whilter.AI
Industry: Technology, Information and Media
Seniority level: Mid-Senior level
Experience: 5+ yrs
Location: Gurgoan, delhi, bangalore
Job Type: full-time
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Company Name: Whilter.AI
Industry: Technology, Information and Media
Seniority level: Mid-Senior level
Experience: 5+ yrs
Location: Gurgoan, delhi, bangalore
Job Type: full-time
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Key Skills
AI tools
About Company
Skills:
React, Typescript, Gcp, Flask, FastAPI, Azure, Python, Kubernetes, AWS, GenAI, AI orchestration frameworks, LLMOps evaluation frameworks, AI observability tooling, infrastructure-as-code, AI-assisted development tools, Multi-agent systems, LLM Ecosystems
Skills:
System Architecture, Soap Services, API design, Unix Shell Scripting, REST, Encryption, Python, Authentication, modern integration patterns, pub sub messaging, Powerpoint, Agentic AI solutions, Microsoft Visio, RAG based implementation, LLM APIs, event driven cloud native services, secure coding practices, CI CD pipelines, AI-assisted coding tools, serverless applications
Skills:
Postgres, Redis, AI-assisted workflows, Observability and monitoring tools, AWS cloud infrastructure, Event pipelines and analytics systems, Caching and performance optimization techniques, Go, Authentication and identity systems
Skills:
Artificial Intelligence, Agentic AI, Generative AI