Software Engineer (Python, AI)

Posted 5 Days Ago
Be an Early Applicant
2 Locations
In-Office
Mid level
Artificial Intelligence • Cloud • Information Technology • Software
The Role
The Software Engineer will develop AI-powered features, collaborate on customer solutions, maintain test automation, and implement data retrieval strategies.
Summary Generated by Built In

We are seeking an energetic Software Engineer with Python experience to join our team in Prague (hybrid office set up).

We specialize in innovative products for test automation and test case management. We are now assembling exceptional teams to craft shared AI services that will help bring our products closer together and provide users with new capabilities and a unified user experience. Would you like to work with a variety of cutting-edge technologies to deliver products used by thousands of customers worldwide? Join our growing Platform AI Services teams!

What would you be working on:

  • Collaboration with the engineering team and a Product Manager on how to best solve customer problems.

  • Helping to break functionality increments into vertical slices that can be delivered frequently.

  • Deliver functionality used by our customers, but also functionality that helps other teams integrate their products together.

  • Collaboration with our SRE team on creating a robust, scalable and secure SaaS solution.

  • Integrate and work with LLMs and other AI services to deliver intelligent features for test automation and test case management.

  • Contribute to and maintain an automated test suite covering unit, integration, API, and end-to-end tests.

What you will do on your first project:

  • Own and evolve semantic search for our knowledge base—deliver MVP quickly, then iterate on scope, quality, performance, and cost.

  • Handle data ingestion, document chunking, and metadata enrichment.

  • Implement embedding generation, vector indexing, and hybrid search.

  • Apply reranking and query expansion techniques to improve search relevance.

  • Monitor and maintain search quality and performance metrics.

  • Support multi-tenant configurations and index lifecycle management.

  • Extend to multimodal retrieval (image-text) as needed.

What skillset will you need:

  • 3+ years of software development experience

  • Knowledge of Python, including API frameworks (FastAPI), async I/O, and typing/Pydantic.

  • Familiarity with the full software development lifecycle and agile ways of working.

  • You are comfortable using AI-powered development tools such as Cursor or Claude to boost day-to-day productivity.

  • Knowledge of API frameworks (e. g. FastAPI/Flask), async I/O, Pydantic/typing, robust error handling, profiling.

  • Knowledge of testing with pytest; integration tests against external services.

  • Understanding of the whole software development lifecycle.

  • Hands-on experience creating or maintaining CI/CD pipelines.

  • Experience designing and building scalable and distributed systems

  • Experience with monitoring/observability and troubleshooting in a production environment

  • Good knowledge in software testing and test automation.

  • Experience working with databases and data persistence layers.Knowledge of relational databases and SQL

  • Experience working in a team following an agile methodology

  • You are not afraid to pick up a new technology/library/pattern and get productive with it quickly if that is needed for the task at hand. 

  • Proactive approach towards issues and challenges.

  • English spoken and written.

What skillset you will need but can learn it during the assignment: 

  • Information Retrieval and RAG fundamentals: embeddings, chunking strategies, hybrid search, reranking.

  • Search evaluation metrics and understanding recall, latency, and cost tradeoffs.

  • Vector databases such as Milvus, Pinecone, Weaviate, or OpenSearch — including indexing, metadata filtering, and versioning.

  • Working with embedding models (OpenAI, Cohere, Hugging Face) and managing batching, rate limits, and cost control.

If you’ve got some of the following, even better: 

  • Experience with Azure, AWS, GCP, Docker and Kubernetes

  • Understanding of LLMs, AI Agents, and MCP (Model Context Protocol).

  • Practical prompt engineering skills — writing, iterating, and optimizing prompts for LLM-powered features.

  • Exposure to LangChain or similar AI/LLM orchestration frameworks is a plus.

You can look forward to:

  • Flexible working schedule (no core hours) 

  • 25 days of paid time off 

  • 3 Sick Days 

  • 2 days of paid Volunteering Leave per year to get involved in your local community or in a cause that matters to you 

  • Hybrid work environment, with home-office allowance

  • Meal allowance

  • Pension Contribution  

  • Life & Disability Insurance

  • A team of passionate professionals who are experts in their fields

  • Events for employees to learn, celebrate and socialize (training sessions, hackathons, parties, sports events, board game gatherings, BBQs) and much more

Tricentis Core Values:

Knowing what we need to achieve and how to achieve it is important. Tricentis core values define our ways of working and the behaviors we model that create an enjoyable and successful Tricentis life.

Demonstrate Self-Awareness: Own your strengths and limitations.

Finish What We Start: Do what we say we are going to do.

Move Fast: Create momentum and efficiency.

Run Towards Change: Challenge the status quo.

Serve Our Customers & Communities: Create a positive experience with each interaction.

Solve Problems Together: We win or lose as one team.

Think Big & Believe: Set extraordinary goals and believe you can achieve them.

About Tricentis:  
Tricentis is a software company officially founded in 2007, with primary focus on software quality assurance. Whether exploratory or automated, functional or performance, API or UI, as well as  mainframes or custom applications or packaged applications, or cloud-native applications - our comprehensive suite of specialized Continuous Testing tools makes DevOps real by giving our clients the confidence to release on-demand.  
 
Tricentis has more than 1500 employees working in across over 20 global offices in US, EMEA, APAC serving over 2100 customers, and currently expanding our R&D centers to two new locations in the Czech Republic – Prague and Brno - Hybrid office environment. 

#LI-DS1

Tricentis is proud to be an equal opportunity workplace. Qualified applicants will receive consideration for employment without regard to race, color, ethnicity, gender, religious affiliation, age, sexual orientation, socioeconomic status, or physical and mental disability and other statuses protected by law.
Global Sanctions Compliance

We comply with all applicable global sanctions and export control laws. Candidates must not be listed on any government restricted party lists (including OFAC SDN List and U.S. Commerce Department restricted lists) and must certify that their employment would not violate any sanctions or export control regulations. Candidates must notify us of any changes to their status during the application process or subsequent employment.

Top Skills

AWS
Azure
Docker
Fastapi
GCP
Kubernetes
Pytest
Python
SQL
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The Company
Atlanta, GA
1,154 Employees
Year Founded: 2007

What We Do

Tricentis is the global leader in enterprise continuous testing, widely credited for reinventing software testing for DevOps, cloud, and enterprise applications. The Tricentis AI-powered, continuous testing platform provides a new and fundamentally different way to perform software testing. An approach that’s totally automated, fully codeless, and intelligently driven by AI. It addresses both agile development and complex enterprise apps, enabling enterprises to accelerate their digital transformation by dramatically increasing software release speed, reducing costs, and improving software quality. Tricentis has been widely recognized as the leader by all major industry analysts, including being named the leader in Gartner’s Magic Quadrant five years in a row. Tricentis has more than 1,800 customers, including the largest brands in the world, such as McKesson, Accenture, Nationwide Insurance, Allianz, Telstra, Moet-Hennessy-Louis Vuitton, and Vodafone.

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