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 and MLflow Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. Experience in creating LLD for the provided architecture. Experience working in microservices based architecture. Domain Expertise: Strong mathematical foundation in statistics, probability, linear algebra, and optimization Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation Expertise in feature engineering, embedding optimization, and dimensionality reduction Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing Experience with RAG systems, vector databases, and semantic search implementation Proficiency in LLM optimization techniques including quantization and knowledge distillation Understanding of MLOps practices for model deployment and monitoring Professional Competencies: Strong analytical thinking with ability to solve complex ML challenges Excellent communication skills for presenting technical findings to diverse audiences Experience translating business requirements into data science solutions Project management skills for coordinating ML experiments and deployments Strong collaboration abilities for working with cross-functional teams Dedication to staying current with latest ML research and best practices Ability to mentor and share knowledge with team members THE CARELON PROMISE Aligning with our brand belief of limitless minds are our biggest asset , we offer a world of limitless opportunities to our associates. It is our strong belief that one is committed to a role when it is not just what the role entails, but also what lies in its periphery that completes the value circle for an associate. This world of limitless opportunities thrives in an environment that fosters growth and well-being, and gives you purpose and the feeling of belonging. LIFE @ CARELON Extensive focus on learning and development An inspiring culture built on innovation, creativity, and freedom. Holistic well-being Comprehensive range of rewards and recognitions Competitive health and medical insurance coverage Best-in-class amenities and workspaces Policies designed with associates at the center. EQUAL OPPORTUNITY EMPLOYER Reasonable Accommodation Our inclusive culture empowers Carelon to deliver the best results for our customers. We not only celebrate the diversity of our workforce, but we also celebrate the diverse ways we work. If you have a disability and need accommodation such as an interpreter or a different interview format, please ask for the Reasonable Accommodation Request Form. Disclaimer: Offered designation titles differ Job Type: Full time 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.