Sr AI Engineer
Relay Human Cloud · Ahmedabad · onsite · Posted 43d ago
Undisclosed4–9 yrsfulltimeSourced from
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About this role
Job Overview
We are seeking a Senior AI Engineer with a strong software engineering background and hands-on experience building and supporting production-grade AI/GenAI applications. The role focuses on developing and enhancing LLM-powered applications, RAG solutions, AI agents, APIs, backend services, enterprise integrations, and intelligent automation. The engineer will also take ownership of existing AI applications, stabilize production systems, and develop scalable AI-powered solutions.
Duties & Responsibilities
- - Design, develop, enhance, and support production AI/GenAI applications.
- Build LLM applications using Azure OpenAI or similar services.
- Develop RAG solutions and vector-search capabilities.
- Build AI agents and tool-calling workflows.
- Convert prototypes into production-ready applications.
- Develop APIs, backend services, integrations, and data workflows.
- Troubleshoot and stabilize AI applications and pipelines.
- Implement monitoring, evaluation, logging, tracing, and observability.
- Develop automated testing solutions.
- Implement AI security and responsible AI practices.
- Work with databases and enterprise search platforms.
- Follow Git, CI/CD, DevOps, and code-review practices.
- Prepare technical documentation and collaborate with cross-functional teams.Education & Training- The provided JD does not specify a required educational degree . It emphasizes professional software engineering experience, including 4+ years of experience , strong Python skills, LLM/GenAI, RAG, API/backend development, enterprise integrations, databases, DevOps, CI/CD, automated testing, and production application support. Knowledge, Skills & Experience
- - 4+ years of professional software engineering experience.
- Strong Python programming skills.
- Experience with C#, Java, or TypeScript.
- Strong LLM/GenAI development experience.
- Strong RAG, embeddings, vector search, document ingestion, and grounding experience.
- API, backend, and enterprise integration experience.
- Strong software architecture and scalable application development knowledge.
- Relational databases, SQL, data modeling, and data workflows.
- Vector databases, document stores, or enterprise search experience.
- Git, CI/CD, DevOps, automated testing, and code-review experience.
- Production troubleshooting and support experience.
- Understanding of prompt injection, hallucinations, sensitive-data exposure, and authorization risks.
- Strong communication, problem-solving, and documentation skills.
- Preferred: Azure OpenAI, Azure AI Services, AI agents, MCP servers, AI observability, LLM security, Salesforce, Microsoft 365, MuleSoft, ETL/data pipelines, RPA, Power BI/Tableau, machine learning, and model serving experience. " , "location":"India" , "type":"Full-Time" , "department":"AI and Data Science","country_
- - 4+ years of professional software engineering experience.
- The provided JD does not specify a required educational degree . It emphasizes professional software engineering experience, including 4+ years of experience , strong Python skills, LLM/GenAI, RAG, API/backend development, enterprise integrations, databases, DevOps, CI/CD, automated testing, and production application support.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
AutomationDevopsAzure Aiapisautomated testingai engineerAzure OpenAIEmbeddingsai securityApplication SupportArchitectureApplication DevelopmentMicrosoft AzureData ModelingBackend DevelopmentData PipelineData ScienceArtificial Intelligence
About Relay Human Cloud
Relay Human Cloud
Management Consulting
280
employees
2021
5 years old
Dallas, Texas
US
₹4.4L PA avg
Avg at Relay Human Cloud
About
At Relay, we’re building a world where everyone benefits from collaborative global work – teams locally and across borders.
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Management ConsultingIT Services & Consulting
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