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Gen AI Engineer
Infosys
Karnataka, IND
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
Generative AILLM engineeringMLOpsLLMOpsRetrieval-augmented generationDocker
Free
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Generative AILLM engineeringMLOps
Key Skills for This Role
Generative AILLM engineeringMLOpsLLMOpsRetrieval-augmented generationDocker
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Technical Skills
- Docker, Kubernetes, CI/CD pipelines, MLflow, and Terraform.
- MLOps platforms, agentic AI frameworks such as CrewAI, AutoGen, and LangGraph.
- Knowledge graphs, natural language processing, and machine learning fundamentals.
Responsibilities
- Design, develop, deploy, and maintain generative AI applications using LLMs.
- Build and operationalize LLM pipelines across development, testing, and production environments.
- Implement LLMOps practices covering deployment, monitoring, evaluation, governance, and lifecycle management.
- Develop retrieval-augmented generation solutions using enterprise knowledge repositories.
- Integrate LLMs with APIs, databases, business applications, and cloud services.
- Monitor performance, latency, cost, hallucinations, and model drift.
- Create automated CI/CD pipelines for AI model deployment and versioning.
- Collaborate with Data Scientists, ML Engineers, and Cloud Teams on scalable AI solutions.
- Ensure security, compliance, observability, and responsible AI practices across GenAI platforms.
Requirements
- 2 to 5 years of experience in AI/ML, Generative AI, LLM Engineering, or MLOps.
- Strong understanding of LLM lifecycle management and production deployment.
- Experience building enterprise AI assistants, chatbots, search, or knowledge management solutions.
- Excellent problem-solving and analytical skills.
- Effective communication and collaboration abilities.
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