Software Engineer, AI

Lyric; Hyderabad; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

Lyric seeks an AI Engineer to build and optimize ML models, RAG systems, and verifiable ML solutions that enhance how Lyric analyzes medical and insurance data. You will advance embeddings, vector databases, and retrieval mechanisms for fast, reliable search results at scale.

The role requires 3+ years in ML/AI with Python and ML frameworks, plus experience with Kubeflow, Kubernetes, and CI/CD. You’ll work on production-grade, secure AI systems in a fast-growing team.

Qualifications

• BS in CS or related field required.
• 3+ years of industry experience with Gen AI technologies.
• Experience with containerization, Kubernetes, Kubeflow.
• Experience with CI/CD pipelines and automated testing.
• Proficiency in Python and ML frameworks.

Responsibilities

• Design and optimize data processing systems for batch and real-time workloads.
• Develop retrieval-augmented generation (RAG) systems using latest LLMs.
• Refine embeddings and vector databases to improve search relevance and latency.
• Create evaluation frameworks to measure ML system quality and safety.
• Build scalable production-ready ML models and verifiable systems for healthcare data.
• Ensure AI/ML security and governance compliance.

Skills

Python

ML frameworks

Containerization

Kubernetes

Kubeflow

CI/CD pipelines

Education

Bachelor degree in Computer Science

Statistics or Engineering background

3+ years industry experience

Tools

Kubeflow

CI/CD tools

Job description

Job Description

The AI Engineer is an ML engineer responsible for building and optimizing machine learning models, retrieval-augmented generation (RAG) systems, and verifiable ML systems that transform how Lyric searches and analyzes complex medical and insurance data.

ESSENTIAL JOB RESPONSIBILITIES & KEY PERFORMANCE OUTCOMES

• Data engineering: Design and optimize systems capable of processing large volumes of data in both batch and real-time.
• Design, implement, and optimize retrieval-augmented generation (RAG) systems that leverage the latest LLM technologies to deliver highly relevant search results at scale.
• Develop and refine embedding models, vector databases, and retrieval mechanisms that maximize search relevance while minimizing latency and operational costs.
• Create robust evaluation frameworks to measure quality, continuously improve our LLM-based solution based on user feedback and performance metrics.
• Build and optimize machine learning models and verifiable ML systems that transform how we search and analyze complex medical and insurance data.
• Build and optimize production-ready systems that are scalable and can handle large amounts of data.
• Build and optimize agentic systems that can reason and make decisions.
• Develop machine learning models in healthcare and insurance settings with the highest standards for safety and quality.
• Stay on top of AI and ML security and governance requirements.

REQUIRED QUALIFICATIONS

• BS in Computer Science (concentration on machine learning/AI), Engineering, Statistics, or a related field
• At least three (3) years of industry experience and specifically with some of the recent Gen AI technologies.
• Experience with containerization, Kubernetes, and cloud-native ML technologies such as Kubeflow.
• Experience with CI/CD pipelines and automated testing.
• High level of proficiency with Python and several ML frameworks.

PREFERRED QUALIFICATIONS

• Experience with medical coding and clinical policy analysis. Exposure to USA healthcare insurance will be an advantage.
• Strong understanding of clinical coding standards (e.g., ICD-10, CPT, HCPCS) is an advantage.