AI - GR - Sr Software Engineer - JR201050
Carelon Global Solutions (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 20–36 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain microservice architectures and APIs for AI solution deployment, utilizing technologies like Python, FastAPI, and Kubernetes.
- Design and implement scalable data pipelines and LLM inference architectures, optimizing model performance and deployment including GPU memory management and quantization.
- Collaborate cross-functionally with data scientists and product managers to integrate, optimize, and deploy AI/ML models, applying MLOps practices and infrastructure management tools such as Terraform and CI/CD platforms.
Minimum Requirements
- Bachelor’s degree in any Engineering stream; Computer Science/Engineering preferred but not mandatory.
- Minimum 6+ years in AI Engineering.
- Proficiency in Python with expertise in machine learning frameworks (PyTorch, TensorFlow), experience in microservices architecture, and Kubernetes container orchestration.
- Experience with microservices, REST/gRPC APIs, LLM frameworks (Hugging Face Transformers, LangChain), vector databases (Qdrant, Chromadb), and infrastructure as code tools (Terraform, CloudFormation).
Ideal Candidate Profile
- Experienced specialist in AI Engineering with a strong background in large language model deployment and optimization, including prompt engineering, quantization, and knowledge distillation.
- Capable of managing end-to-end AI/ML deployment lifecycle in cloud and containerized environments with operational skills on CI/CD, Kubernetes, and infrastructure automation.
- Proven ability to collaborate with cross-functional teams for delivering advanced AI solutions in production, with experience in healthcare domain AI considered advantageous though not mandatory.