Skills
Python
AI agents
AI automation
Data pipelines
LLM-driven transformation
API integration
Web parsing
Asynchronous programming
Caching
Retries
Observability
Performance optimization
API development
Event-driven services
SDK and framework development
Cross-functional collaboration
Bachelor's degree in Computer Science, Engineering, or related field
LLM
APIs
Web parsers
Email systems
Chat systems
Streaming data
Async programming
Summary
✨ AI‑Generated
A technology-focused organization is seeking an experienced AI Automation Engineer to join its AI engineering team. You will design and implement production-grade AI agents, robust automation services, data pipelines, and LLM-powered workflows. The role involves integrating external tools and APIs such as web parsers, email, chat, and streaming systems, while exposing workflows through well-documented APIs or event-driven services. You will also help build reusable SDKs and frameworks and work closely with cross-functional teams. A bachelor's degree in a relevant technical field and 5+ years of professional Python experience are required, with strong emphasis on modern asynchronous development and reliable production systems.
Highlights
Opportunity to build production-grade AI agents and automation services, work with modern LLM technologies and data pipelines, integrate diverse external systems, and contribute to reusable internal SDKs and frameworks. The role offers cross-functional collaboration and a strong focus on reliability, scalability, observability, and performance.
Description
Are you GAME to JOIN US and be our new AI Automation Engineer?
SoftConstruct is on a search for a new player to join our AI Center Of Excellence team.
Responsibilities
Design and implement production-grade AI agents and robust automation servicesCreate robust data pipelines for extraction and LLM-driven transformationIntegrate with external tools and APIs, including web parsers, email, chat systems, and streaming dataExpose agent workflows as well-documented APIs or event-driven servicesFocus on building reliable systems with built-in caching, retries, observability, and performance optimizationContribute to the development of internal SDKs and frameworks to accelerate AI agent development across the teamPartner with cross-functional teams to translate use cases into reliable, maintainable solutions
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field (Master’s degree preferred)5+ years of professional Python experience, with a focus on modern async and typed codeProven track record building scalable backend APIs with modern web frameworks (e.g., FastAPI, Django) Hands-on experience with LLM agent design patterns like ReAct and tool-calling, preferably with frameworks like LangChainPractical experience with event-driven architectures (e.g., Kafka, RabbitMQ)Experience with orchestration frameworks (e.g., Dagster, Airflow) Proficiency with relational databases (e.g., PostgreSQL) and non-relational databases (e.g., MongoDB, Redis, PgVector)Strong knowledge of CI/CD practices, preferably with Azure DevOpsCommitment to writing strong unit and integration testsAbility to work independently and thrive in a fast-paced, evolving project environment
Do you like to learn hard, work hard and play hard?
Do you imagine better things, technologies, future?
If you answered “Yes” to at least two of these questions then we might be a great fit for you.
