Digica is an AI and Software Engineering company delivering tomorrow's AI-powered technology today.
We develop intelligent software across AI domains, with a strong focus on Deep Learning, Computer Vision, Object Recognition, AI on the Edge, and Embedded AI systems.
Our expertise includes Machine Learning, Artificial Intelligence, Data Science, and Robotics. We work with global enterprises and innovative start-ups across industries such as Defence, Medical, Agriculture, and Telecommunications.
At Digica, we transform cutting-edge science into practical technology that creates real-world impact.

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.

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.

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.

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.

• 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.