
Senior Python Developer, AI
Intellectsoft
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇦 Ukraine
Visit company websiteJob Level
Senior
Tech Stack
AWSAzureCloudDockerGoogle Cloud PlatformKubernetesNoSQLPostgresPython
About the role
- - Write clean, maintainable Python code to build out the core orchestration engine and API layers.
- - Develop and debug durable execution logic, implementing state management, automated retries, and cost-control triggers for long-running tasks.
- - Build and maintain integrations for LLM providers and financial data APIs, ensuring high availability and low latency.
- - Design and implement database schemas in PostgreSQL and NoSQL stores, writing optimized queries and managing migrations.
- - Create unified API abstractions that allow the system to switch between different LLM models and storage backends via configuration.
- - Build automated test suites and evaluation pipelines to validate the accuracy of LLM outputs and system performance.
- - Configure and automate deployment pipelines across multiple platforms, including CI/CD orchestration and container management.
- - Build and manage scalable infrastructure using serverless compute (Modal) and cloud-native services to ensure high availability.
Requirements
- - Expert-level Python proficiency, as it is a primary language for all development. **- Deep technical knowledge of relational databases (PostgreSQL), including schema normalization, writing complex joins, query optimization, and managing indexing for high-concurrency environments. **- Proficiency with NoSQL Databases, with a deep understanding of when to use document, key-value, or vector stores to handle unstructured LLM outputs and high-velocity research data. **- Comprehensive knowledge of deployment approaches, including experience with CI/CD pipelines, containerization (Docker/Kubernetes), and different deployment strategies. **- Multi-platform deployment experience, with the ability to navigate and deploy across various environments ranging from serverless to traditional cloud providers (AWS, GCP, or Azure). **- Proven experience with serverless compute (e.g., Modal) and cloud-native architectures. **- Hands-on experience with LLM APIs including direct integration with OpenAI, Anthropic, xAI, or Google. **- Familiarity with AI orchestration frameworks such as PydanticAI. **- High level of resourcefulness and the ability to quickly master new concepts as the AI landscape evolves.****Nice to have skills:
- - Experience working with financial data providers like S&P Global, FactSet, or SEC Edgar.
- - Familiarity with modern AI tooling APIs such as Exa or Parallel.****
Benefits
- - Awesome projects with an impact
- - Udemy courses of your choice
- - Team-buildings, events, marathons & charity activities to connect and recharge
- - Workshops, trainings, expert knowledge-sharing that keep you growing
- - Clear career path
- - Absence days for work-life balance
- - Flexible hours & work setup - work from anywhere and organize your day your way
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonPostgreSQLNoSQLCI/CDDockerKubernetesserverless computeLLM APIsPydanticAIquery optimization
Soft skills
resourcefulnessadaptability