Microservices LLM-Senior Software Engineer III

Position Title:

Microservices LLM-Senior Software Engineer III - AI-GR-39842-71847-JR192255

Job Family:

IFT > Engineering /Dev

Shift:

Job Title

Senior Software Engineer III - AI

Requirement Type

Full-Time Employee

Job Location

Bangalore/Hyderabad/Gurugram

Requirement Level

Senior Associate

Hiring Manager

Assistant Manager

Primary Skill

Microservices LLM, Python, FastAPI, Vector DB(Qdrant, Chromadb, stc), RAG, MLOps & Deployment, Cloud, Agentic AI Framework, Kubernetes

Business

Claim Payment & Accuracy

Skill Category

Super Super Niche

ABOUT ELEVANCE HEALTH

Elevance Health is a leading health company in America dedicated to improving lives and communities and making healthcare simpler. It is the largest managed health care company in the Blue Cross Blue Shield (BCBS) Association serving more than 46 million lives across 14 states.

A regular in the Fortune 500 list, Elevance ranked 20 in 2025. Gail Boudreaux , President and CEO of Elevance has been a consistent name in the Fortune list of most powerful women and currently holds 53rd rank on this list.

OUR MISSION & VALUES

Our Mission: Improving Lives and Communities. Simplifying Healthcare. Expecting More.
Our Values: Leadership | Community | Integrity | Agility | Diversity

JOB POSITION

Carelon Global Solutions India is seeking for a Senior Software Engineer III AI.

JOB RESPONSIBILITY

• Develop and maintain microservice architecture and API management solutions using REST and gRPC for seamless deployment of AI solutions.
• Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI/ML model integration and optimization.
• Design and implement robust, scalable, and enterprise-grade data pipelines to support state-of-the-art AI/ML models.
• Debug, optimize, and enhance machine learning models, ensuring quality assurance and performance improvements.
• Familiarity with tools like Terraform, CloudFormation, and Pulumi for efficient infrastructure management.
• Create and manage CI/CD pipelines using Git-based platforms (e.g., GitHub Actions, Jenkins) to ensure streamlined development workflows.
• Operate container orchestration platforms like Kubernetes, with advanced configurations and service mesh implementations, for scalable ML workload deployments.
• Design and build scalable LLM inference architectures, employing GPU memory optimization techniques and model quantization for efficient deployment.
• Engage in advanced prompt engineering and fine-tuning of large language models (LLMs), focusing on semantic retrieval and chatbot development.
• Document model architectures, hyperparameter optimization experiments, and validation results using version control and experiment tracking tools like MLflow or DVC.
• Research and implement cutting-edge LLM optimization techniques, such as quantization and knowledge distillation, ensuring efficient model performance and reduced computational costs.
• Collaborate closely with stakeholders to develop innovative and effective natural language processing solutions, specializing in text classification, sentiment analysis, and topic modeling.
• Design and execute rigorous A/B tests for machine learning models, analyzing results to drive strategic improvements and decisions.
• Stay up-to-date with industry trends and advancements in AI technologies, integrating new methodologies and frameworks to continually enhance the AI engineering function.
• Contribute to creating specialized AI solutions in healthcare, leveraging domain-specific knowledge for task adaptation and deployment.

QUALIFICATION

• Minimum education: Bachelor s degree in any Engineering Stream
• Specialized training, certifications, and/or other special requirements: Nice to have
• Preferred education: Computer Science/Engineering.

EXPERIENCE

• Minimum relevant experience - 5+ years in AI Engineering
• Preferred total experience 8 years

SKILLS AND COMPETENCIES

Technical Skills:

• Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow)
• Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques
• Experience with big data processing using Spark for large-scale data analytics
• Version control and experiment tracking using Git a…