Senior Software Engineer (AI Platform)

A career that’s the whole package! At Conga, we’ve built a community where our colleagues can thrive. Here you’ll find opportunities to innovate and support growth through individual and team development, all within an environment where every voice is heard.

Conga lines up commercial operations so companies run as connected, smarter businesses. By unifying the people and processes that drive commerce, Conga aligns pricing, quoting, contracting, rebates, and communications so teams stay in sync and buyers keep moving forward. The result is trusted decisions, consistent buyer experiences, and profitable growth.

More than 10,000 customers worldwide, including over 50% of the Fortune 100®, trust Conga when commercial complexity is high and global impact is on the line. A quick snapshot As a Senior Software Engineer on Conga’s AI Platform team, you’ll design, build, and optimize advanced AI and GenAI products that power our enterprise solutions. You’ll take ownership of complex features, influence architectural decisions, mentor junior engineers, and ensure our systems are scalable, reliable, and ready for production.

This role is ideal for an engineer who thrives on solving hard problems, leading technical conversations, and elevating the quality of the entire engineering team. Why it's a big deal Conga’s AI Platform is the engine behind our intelligence layer. The systems you architect, the models you deploy, and the services you optimize directly impact how customers configure deals, manage contracts, and drive revenue.

Your leadership will shape the future of Conga’s AI capabilities - from how we build generative AI features to how we maintain service health at scale. Are you the person we're looking for? You’re an advanced, hands ‑ on engineer.

You design and develop high ‑ quality, scalable software using Python, FastAPI, PyTest, Celery, and modern design patterns. You’re comfortable navigating complex systems and driving best practices in code quality, documentation, and test coverage. You lead technical decisions.

You contribute to architectural design, participate in technical reviews, and help define how new features should be built. You mentor junior engineers, raise the bar for code reviews, and ensure the team follows strong engineering principles. You’re experienced across the full AI/GenAI lifecycle.

You lead end ‑ to ‑ end development of generative AI solutions - from data collection and preprocessing to model training, deployment, and optimization. You experiment with cutting ‑ edge techniques and understand how to build production ‑ grade AI systems. You care deeply about reliability and service health.

You design robust test suites, advocate for automation, and use telemetry and performance indicators to proactively identify issues. You conduct root ‑ cause analysis and drive preventive measures to improve system reliability. You take ownership in a DevOps model.

You partner with product management to design, develop, test, deploy, and maintain software in production. You manage priorities, mitigate risks, and deliver features with clarity, quality, and accountability. You communicate clearly and collaborate effectively.

You work closely with cross ‑ functional teams, contribute to knowledge sharing, and document technical decisions so others can learn and build on your work. What will give you an edge Hands ‑ on experience with advanced ML algorithms, generative models, NLP, or transformers Familiarity with GenAI frameworks (LangChain, LangGraph) and MLOps practices Experience with SQL or NoSQL databases (MongoDB, MSSQL, PostgreSQL) Experience with Docker, Kubernetes, or GCP technologies (VertexAI, BigQuery, GKE, GCS, DataFlow, Kubeflow) Experience with messaging systems like Kafka Strong emphasis on building resilient, testable software Additional programming languages (C#, Java, Scala) Did we pique your interest?