We are looking for passionate individuals at any career stage—from recent graduates to seasoned professionals. The key attribute we seek is a drive to build agentic systems that enhance and automate workflows, specifically within QA, Project Management, and Sales.
Requirements & Tech Stack
- AI Frameworks: Hands-on experience or familiarity with multi-agent and orchestration libraries such as LangGraph, LangChain, CrewAI, or AutoAgents / AutoGen.
- Foundation Models: Familiarity with integrating LLMs (e.g., Gemini, Claude) and leveraging cloud-native AI builders like AWS Bedrock or Azure AI Foundry.
- Core Skills: Understanding of prompt engineering principles and LLM failure modes (hallucination, drift).
- Software Practices: Basic knowledge of Git version control, CI/CD pipelines, containerization (Docker, Kubernetes), and Agile methodologies.
Key Responsibilities:
- Agentic Workflows: Build multi-step agent systems (e.g., planner-executor, routing, and tool-calling) that can operate across business applications.
- Tool Integration: Create typed tools and API wrappers, adhering to standards like the Model Context Protocol (MCP) to connect AI agents to production systems.
- Evaluation & Testing: Write comprehensive unit tests and design "Evals" (using LLM-as-a-judge pipelines or frameworks) to ensure agent accuracy, safety, and reliability.
- Monitoring & Operations: Support AI operations by monitoring agent performance and tracking regressions using observability tools.
Nice to have:
- If you have a portfolio or GitHub profile showcasing your work, we would love to see it. Feel free to share examples of developed agents, along with any details about the architecture, tool-calling logic, and how you evaluated performance.
Security & Ethics:
- Understanding of AI safety best practices, including sandboxing, defenses against prompt injection, and secure credential handling.
Soft Skills:
- Ability to work effectively in ambiguous and rapidly changing environments.
- Strong analytical thinking and curiosity about emerging AI technologies.
- Ability to evaluate non-deterministic AI outputs and make informed technical decisions.
- Ability to communicate technical concepts and trade-offs to both technical and non-technical stakeholders.
What you will impact in your first 6 months: Plan and introduce intelligent AI Agents that will enhance and automate operations across QA, Project Management, and Sales, improving efficiency and coverage.
What We Offer:
- Opportunity to work on innovative software and technology projects for global clients across different industries
- Collaboration with experienced engineers and technical specialists
- A supportive environment focused on knowledge sharing and continuous learning
- Access to learning resources and opportunities for professional development
- Flexible working arrangements
- Opportunity to work with modern technologies and contribute to technical solution.
