About The Role

Lyric is the trusted leader in healthcare decision intelligence. Built on more than 35 years of proven results, Lyric combines responsible AI with clinical, payment, regulatory, and policy expertise to deliver transparent, auditable insights in milliseconds across real-time claims workflows. Lyric augments human decision-making so health plans can make faster, more accurate payments while maintaining full control. Today, Lyric supports 200 million lives, with nine of the top 10 U.S. health plans relying on its platform to reduce waste, improve efficiency, and support accurate payments.

JOB SUMMARY

We're a company at the intersection of FinTech and Healthcare, committed to simplifying healthcare payment integrity and creating value for health insurers, healthcare providers, and consumers. We're not a startup, but we move like one when it matters.

Our Hyderabad office is a core innovation hub, not a satellite. Engineers here lead the design and build of new product capabilities used globally — working alongside our data scientists, architects, and product teams in the U.S.

If you’re passionate about building new systems from the ground up, solving complex engineering problems, and seeing your work have a real-world impact, Lyric.ai is the place for you.

Here's what makes this role different: you're not just a software engineer who "also knows AI." We want someone who has already figured out that tools like Cursor, Claude Code, and Codex aren't toys - they're force multipliers. You'll use AI agents every day to tear through migrations, refactors, and test coverage that would take a traditional team weeks. But you also know when the AI is wrong, when to step in, and how to keep quality high. Think of it as having a junior engineer with infinite energy and zero judgment - your job is to supply the judgment.

ESSENTIAL JOB RESPONSIBILITIES & KEY PERFORMANCE OUTCOMES

Why Lyric India?

Build new products — your code ships into production and directly impacts millions of customer transactions.
High visibility and global exposure — collaborate daily with other senior and staff engineers, architects, and leadership across the U.S. and India.
Work at the intersection of AI + Software Engineering — integrate AI, data, and automation into next-generation platforms.
Be part of a growing innovation hub in Hyderabad — where your ideas shape the roadmap.
Competitive compensation, hybrid flexibility, wellness benefits, and a collaborative, inclusive culture that encourages experimentation and growth.

What You’ll Do

Build, Innovate, and Own

Design, develop, and maintain high-performance microservices in a modern .NET/C# environment.
Architect and optimize data pipelines and storage solutions that power our AI-driven products.
Collaborate closely with AI and data teams to bring machine learning models into production systems.
Build integrations with external services and APIs to enable scalable, interoperable solutions.
Ensure robust security, scalability, and observability across distributed systems.
Stay ahead of the curve — evaluating emerging technologies and contributing to architectural decisions for our next-gen platform.

Collaborate and Influence

We’re expanding fast and hiring multiple engineers to shape Lyric’s future — from day one, you’ll be building innovative products that make an impact.
Partner with product managers, architects, and data scientists across global teams to align technical strategy with product vision.
Be part of a team that values innovation, transparency, and shared ownership — where engineers directly influence what gets built next.

Mentor and Elevate

Provide technical guidance and code reviews that raise the bar for quality and performance.
Help create a growth-minded engineering culture that encourages experimentation, learning, and accountability.

REQUIRED QUALIFICATIONS

Bachelor’s degree in Computer Science or equivalent practical experience.
8+ years of professional experience, including 5+ years designing and maintaining scalable backend systems using C#/.NET and microservices architecture.
Strong experience with SQL and NoSQL data stores.
Solid hands-on knowledge of cloud platforms (AWS, GCP, or Azure).
Proven ability to design for performance, reliability, and security in data-intensive systems.
Excellent communication skills and ability to work effectively in a global, cross-functional environment.

PREFERRED QUALIFICATIONS

Startup experience - specifically in building product from 0-1
Exposure to AI/ML-powered systems, data engineering, or large-scale data processing.
Experience in healthcare or fintech domains.
Familiarity with modern DevOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes).