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AI Engineer
Sigma Software GroupAI Engineer developing LLM-powered documentation platforms for Sigma Software’s telecommunications customer. Building Python backend services, AI agent workflows, APIs, and cloud-native infrastructure in a remote Agile team.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and maintaining backend services and REST APIs using Python and async frameworks, while integrating AI capabilities and ensuring system reliability and scalability. Proficient in collaborating within Agile teams and contributing to CI/CD pipelines and Kubernetes-based infrastructure.
Highest-signal resume keywords
Python DevelopmentREST API DevelopmentReact and TypeScriptCI/CD PipelinesKubernetes
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonFastAPIREST APIsPostgreSQLAutomated TestingDockerKubernetesGitAgile MethodologiesAI Tool Integration
Soft Skills
ProactiveCollaborativeAnalyticalProblem-SolvingEffective Communication
Tools & Technologies
LangChainLangGraphGrafanaOpenTelemetryCloudWatchOAuth2OIDCKeycloakHelmVite
Industry Keywords
AI-Driven SolutionsDocumentation ToolingCloud InfrastructureObservabilityAgent-Based Workflows
Tech Stack
Tools & technologiesCloudDistributed SystemsDockerGrafanaKubernetesPostgresPythonReactTypeScript
About the role
Key responsibilities & impact- Participate in research and development activities for AI-driven documentation solutions
- Take ownership of features from concept through implementation and deployment
- Develop and maintain backend services and REST APIs using Python and modern async frameworks
- Integrate AI capabilities and agent-based workflows into existing platforms and services
- Collaborate on frontend functionality using React, TypeScript, and Vite where required
- Work with LLM orchestration frameworks and AI tooling integrations
- Ensure system reliability, scalability, observability, and maintainability
- Collaborate with AI engineers, frontend developers, product managers, and designers
- Participate actively in Agile ceremonies including sprint planning, refinements, demos, and stand-ups
- Contribute to CI/CD pipelines, deployment automation, and Kubernetes-based infrastructure
- Troubleshoot and resolve issues across frontend, backend, and infrastructure layers
- Continuously evaluate and adopt emerging AI technologies and engineering best practices
Requirements
What you’ll need- At least 3 years of commercial software development experience
- Solid experience with Python and async web frameworks such as FastAPI
- Experience with React and TypeScript
- Experience with LangChain, LangGraph, or similar LLM orchestration frameworks
- Experience with cloud infrastructure
- Strong experience building and maintaining REST APIs
- Experience with relational databases and ORMs, preferably PostgreSQL
- Practical experience writing automated tests using frameworks such as pytest or Playwright
- Hands-on experience with Docker and Kubernetes environments
- Understanding of CI/CD pipelines and deployment workflows
- Ability to debug issues across the full application stack
- Strong Git skills and experience working in code-review-driven environments
- Experience working in Agile teams
- Upper-Intermediate level of English
- Familiarity with AI tool integration protocols and agentic workflows is a plus
- Experience with Helm is a plus
- Experience with observability tooling such as Grafana, OpenTelemetry, or CloudWatch is a plus
- Experience integrating enterprise authentication systems such as OAuth2/OIDC or Keycloak is a plus
- Experience developing editor or IDE extensions is a plus
- Experience using AI coding assistants in daily development workflows is a plus
- Experience with enterprise-scale AI platforms is a plus
- Experience with cloud-native distributed systems is a plus
- Exposure to AI-assisted developer tooling is a plus
- Experience contributing to architecture decisions is a plus
- Knowledge of documentation tooling ecosystems is a plus
- Highly proactive and self-driven
- Comfortable working independently in a fully remote environment
- Strong ownership mindset
- Collaborative team player
- Strong analytical and problem-solving skills
- Open to learning and experimenting with emerging AI technologies
- Effective communicator with cross-functional teams
Benefits
Comp & perks- Fully remote work
- Collaborative and flexible environment
- Professional growth opportunities
- Opportunity to work with modern LLM orchestration frameworks, cloud-native infrastructure, and enterprise-scale AI integrations