Staff Engineer, Generative AI Engineer
New
J
JobgetherSecurity & IT
IndiaFull-TimeStaff
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 5.5+ years of professional experience
- Required Skills
- DockerPythonKubernetesFastAPICI/CDGenerative AI
Requirements
- 5.5+ years of professional experience, including strong and recent hands-on experience in AI/Generative AI engineering.
- Bachelor’s or master’s degree in Computer Science, Information Technology, or a related technical field.
- Strong hands-on expertise in Python and production-grade AI/GenAI application development.
- Proven experience with FastAPI for building scalable, secure, and production-ready APIs.
- Strong knowledge of LLMs, prompt engineering, RAG, embeddings, vector databases, and retrieval optimization.
- Experience with agent orchestration frameworks such as LangGraph, CrewAI, or Temporal.
- Familiarity with enterprise LLM platforms such as Azure OpenAI and AWS Bedrock.
- Experience with Docker, Kubernetes, CI/CD, Azure DevOps, Argo CD, and GitOps practices.
- Strong understanding of AI security, OAuth2/JWT, Responsible AI guardrails, and governance.
- Experience implementing AI evaluation, observability, monitoring, logging, and tracing using tools like LangSmith, OpenTelemetry, or Elasticsearch.
- Excellent stakeholder management, communication, and technical leadership abilities.
Responsibilities
- Design, develop, and deploy enterprise-grade Generative AI, Agentic AI, and conversational AI solutions using Python and FastAPI.
- Architect and implement multi-agent systems, including workflows, reasoning, memory, tool integrations, orchestration, and agent coordination.
- Design and optimize scalable RAG pipelines, covering document processing, chunking, embeddings, vector search, retrieval, grounding, and response generation.
- Integrate AI agents with enterprise applications through REST APIs, MCP, and A2A protocols.
- Build secure, scalable cloud-native AI applications using technologies such as OAuth2/JWT, Key Vault, and Responsible AI guardrails.
- Develop and maintain CI/CD and GitOps pipelines using Azure DevOps, Docker, Kubernetes, and Argo CD.
- Establish robust approaches to testing, AI evaluation, observability, monitoring, logging, and distributed tracing.
- Provide technical leadership and mentor engineers on GenAI, LLM applications, RAG architectures, and agent design.
View Full Description & ApplyYou'll be redirected to the employer's site
