AppOmni
Lead Software Enigneer
Remote - USA
Sponsorship not specified$200k-$225kDetected 14 days ago
PythonFastAPIBackend DevelopmentCode ReviewGitAWSGCPAzureCloud PlatformsDockerKubernetesTerraformCI/CDJenkinsCircleCIPrometheusGrafanaMachine LearningPandasData ScienceLLMsLangGraphCybersecurityDetection Engineering
About the role
- This role offers the opportunity to make a meaningful impact across the whole platform.
- This position focuses on development, implementation, testing and monitoring of our GenAI infrastructure and deployment pipelines.
Responsibilities
- Design, build, and maintain backend services and APIs to support our GenAI product using Python and FastAPI, ensuring they are scalable, reliable, and secure.
- Develop and operate LLM-powered applications and agentic workflows using LangChain, LangGraph, and LangSmith, including tracing, evaluation, and observability.
- Develop and manage infrastructure using Terraform, applying infrastructure-as-code (IaC) practices across backend and ML resources.
- Build and maintain CI/CD pipelines, including infrastructure-as-code (IaC), and automate deployment and monitoring across backend services and ML workflows.
- Optimize infrastructure and services for performance, scalability, reliability, and cost efficiency, and troubleshoot issues across deployment and runtime.
- We believe diversity fuels innovation and drives growth by bringing a wealth of different perspectives and skills.
- Join us in building a workplace where we can all thrive.
Requirements
- At least 8 years of experience in backend centric software development.
Nice to have
- Experience with Databricks.
Skills
- Experience implementing infrastructure for Machine Learning and Generative AI applications.
- Experience in security engineering or another complex domain.
- Excellent communication and collaboration skills to work effectively with Product, Engineering, Field, and other cross-functional teams.
- Experience in Cloud computing: Experience with cloud platforms like AWS, Azure, or GCP for model training and deployment.
- Experience with ML services in Cloud Platforms like VertexAI in GCP.
- Proficient in containerization technologies (Docker, Kubernetes)
- Experience with model monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).
- Expertise in CI/CD tools (Github, Jenkins, GitLab CI, CircleCI).
- Experience with infrastructure-as-code tools (Terraform, CloudFormation).
- Proactive approach to work and ability to take initiative.
- Nice-to-have: Experience with Databricks.
- Compensation & Benefits
Compensation
- The annual base salary compensation range in the U.S. for this role is: $200,000 - $225,000 USD.
- Higher compensation may be available for candidates in higher cost of living markets.
- Final offer amounts are determined by factors such as the final candidate's skills, qualifications, and experience, as well as business considerations and peer compensation.
- To do this, we take a holistic view of compensation, one that values not just the immediate financial package but also the long-term growth of both our employees and our company.
- We're committed to pay equity and transparency and encourage all candidates to discuss their salary expectations with us early in the application process.
Benefits
- All benefits are subject to eligibility requirements and plan details.
Company info
- The Lead Software Engineer plays a key role in the company's AI strategy.
- Handle large datasets to ensure data is processed, ready for model context, and collaborate in the platform data pipeline.
- Our team is determined to make a difference to positively impact our way of life by securing the technology that is changing the world.
Visa & Work Authorization
- Applicants will not be discriminated against because of race, color, creed, national origin, ancestry, citizenship status, sex, sexual orientation, gender identity or expression, age, religion, disability, pregnancy, mar
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This listing is sourced directly from AppOmni's careers page and normalized into a canonical job model.