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Conga

Cloud-based revenue lifecycle management platform

Staff Software Engineer - AI Platform

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeBulgariaNo salary listedIn-person

About the Job

Requirements

  • Minimum 10 years of experience in Python, FastAPI, PyTest, Celery, and modern design patterns.
  • Experience building large-scale, production-grade systems and understanding distributed systems, microservices, and cloud-native architecture.
  • Significant experience building AI/ML or GenAI applications, including understanding model training, deployment, monitoring, and lifecycle management.
  • Familiarity with LangChain and LangGraph and hands-on experience with modern machine learning techniques, generative models, or large language models.
  • Ability to define and influence technical direction across teams, lead design discussions, evaluate tradeoffs, and ensure solutions are scalable, maintainable, and aligned with product strategy.
  • Ability to coach engineers, raise code-quality standards, provide feedback, share knowledge, and help others grow.
  • Ability to own projects end-to-end, ensure services are reliable, observable, and resilient, respond to incidents, drive root-cause analysis, and implement preventive measures.
  • Ability to partner with product managers, data scientists, and engineering leadership to deliver cohesive solutions and articulate technical decisions and their business impact.

Responsibilities

  • Shape the design, development, and deployment of scalable, reliable AI and GenAI solutions.
  • Lead high-impact projects, set technical direction, mentor engineers, and ensure systems meet performance and quality standards.
  • Make architectural decisions and lead design discussions, evaluating tradeoffs and guiding scalable, maintainable solutions aligned with long-term product strategy.
  • Lead projects end-to-end from ideation and design through deployment and monitoring.
  • Ensure services are reliable, observable, and resilient; respond to incidents, drive root-cause analysis, and implement preventive measures.
  • Collaborate with product managers, data scientists, and engineering leadership to deliver cohesive solutions and explain technical decisions and their business impact.

Desired Qualifications

  • Hands-on experience with advanced machine learning algorithms, generative models, natural language processing, transformers, or diffusion models.
  • Deep familiarity with TensorFlow or PyTorch.
  • Experience with SQL or NoSQL databases, including MongoDB, Microsoft SQL Server, or PostgreSQL.
  • Experience with Google Cloud Platform technologies, including Vertex AI, BigQuery, Google Kubernetes Engine, Google Cloud Storage, or Dataflow.
  • Experience with Docker, Kubernetes, or infrastructure-as-code tools.
  • Experience with messaging systems such as Kafka.
  • Contributions to open-source projects or the AI/ML community.
  • Experience with additional programming languages such as C#, Java, or Scala.

About the Company

Conga

Cloud-based revenue lifecycle management platform

Conga provides cloud-based software that automates and manages the revenue lifecycle for businesses. Its SaaS platform unifies CPQ, CLM, and Document Automation into a single data model and can connect with any CRM, ERP, or cloud system, with modules like Conga CPQ, CLM, and Composer, and AI features for insights and contract risk. It differentiates itself by offering open, system-wide integration and a unified revenue-record across departments to reduce data silos and streamline workflows. The goal is to help companies accelerate revenue, drive profitable growth, and gain a holistic view of commercial operations.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$117M
Headquarters
Broomfield, CO
Founded
2006

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