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Gen AI Engineer
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- Posted 13 hours ago
- Be among the first 30 applicants
Job Description
- Design, develop, and deploy AI-powered automation solutions using Python and Gen AI. -Build and enhance applications leveraging LLMs, RAG, and Prompt Engineering techniques. -Integrate AI solutions with enterprise systems, workflows, and APIs. -Support model development, testing, deployment, monitoring, and optimization activities. -Collaborate with cross-functional teams to identify and implement AI-driven use cases. -Follow Responsible AI, security, and governance guidelines in solution development. -Troubleshoot and resolve issues in deployed AI applications and automation workflows. -Contribute to reusable components, automation assets, and internal knowledge repositories.
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About Company
Skills:
Rest Apis, AWS, Pytorch, FastAPI, Python, Azure, Gcp, Flask, Git, CI CD for ML, LLMs, MLflow, Hugging Face Transformers, LangChain, Weights Biases, Generative AI, Transformers
Skills:
Prompt Engineering, Technology, generative ai, AI-Generative AI, AI-AI Engineering, AI/ML Solution Architecture and Design
Skills:
Ml, Solution Design, GEN AI, software configuration management systems, RAG, Ai, solution product demonstrations, Team Management
Skills:
.NET, Containers, Sql, Microservices, Rest Apis, Python, Kubernetes, Azure DevOps, generative AI applications, Infrastructure as Code, NoSQL databases, AI-enabled software engineering practices, CI CD automation, GitHub Actions, Azure Cloud Architecture, modern frontend frameworks, AI LLM solution design and implementation, agentic AI workflows, intelligent automation, event-driven architecture, cloud-native application development
Skills:
twilio , Java, Wireshark, Oauth2, Jwt, Gcp, Postman, Rest Apis, Webrtc, Azure, Python, AWS, LangChain, containerized deployments, Ubona, WebSockets, webhooks, CI CD pipelines, Telephony, SIP, OpenAI, Avaya