AI Automation Engineer

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