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Build the future of AI with us
We're a small, focused team of engineers obsessed with shipping production AI. If you love solving hard problems, thrive in ambiguity, and want your work to matter — you'll fit right in.
02 OPEN POSITIONS
Current Openings
QA Engineer
About the Role
We're looking for a detail-oriented QA Engineer to ensure the quality and reliability of our AI-powered products. You'll design and execute test strategies across web applications, APIs, and ML pipelines — catching bugs before they reach production.
What You'll Do
- Design and execute manual and automated test cases for web and API layers
- Write and maintain automated test suites using Java-based frameworks (Selenium, TestNG, JUnit)
- Validate AI model outputs and data pipeline integrity
- Collaborate with developers to identify, reproduce, and resolve defects
- Perform regression, integration, and performance testing
- Contribute to CI/CD pipeline quality gates
Requirements
- 1–2 years of hands-on QA experience
- Strong proficiency in Java for test automation
- Experience with Selenium WebDriver, TestNG, or JUnit
- Familiarity with REST API testing (Postman, RestAssured)
- Understanding of Agile/Scrum workflows
- Knowledge of Git and CI/CD tools is a plus
Nice to Have
- Experience testing ML/AI systems or data-driven applications
- Exposure to performance testing tools (JMeter, Gatling)
- ISTQB or equivalent certification
Agentic AI Engineer
About the Role
We're looking for an Agentic AI Engineer to design and build autonomous AI systems that reason, plan, and act. You'll work at the cutting edge of LLM-powered agents, tool-use architectures, and multi-step reasoning pipelines — shipping real products to real users.
What You'll Do
- Design, build, and deploy autonomous AI agents using LLMs (GPT-4, Claude, open-source models)
- Architect multi-agent systems with tool-use, memory, and planning capabilities
- Integrate agents with external APIs, databases, and enterprise systems
- Build evaluation frameworks to measure agent reliability and accuracy
- Optimize prompt engineering, chain-of-thought reasoning, and retrieval-augmented generation (RAG)
- Ship production-grade agent pipelines with monitoring and guardrails
Requirements
- 2+ years of experience in software engineering with Python
- Hands-on experience building LLM-powered applications or agents
- Familiarity with frameworks like LangChain, LlamaIndex, CrewAI, or AutoGen
- Strong understanding of prompt engineering, RAG, and function calling
- Experience with vector databases (Pinecone, Weaviate, Qdrant, ChromaDB)
- Solid grasp of API design and async architectures
Nice to Have
- Experience fine-tuning open-source LLMs (Llama, Mistral)
- Background in reinforcement learning or RLHF
- Contributions to open-source AI/agent projects
- Experience with MLOps tools (MLflow, Weights & Biases, Kubeflow)
