Agentic AI Software Engineer

About the role

We are looking for a skilled and motivated Consultant to join our team. The ideal candidate combines strong software engineering expertise with hands-on experience in modern AI systems, including agentic AI and generative AI applications. You will support our clients in designing and building intelligent, production-ready systems that leverage LLMs, autonomous agents, and scalable cloud architectures.

What you’ll do

• · Design, build, and deploy scalable, production-grade systems on cloud platforms such as AWS, GCP, or Azure.
• · Develop and operate agentic AI systems, including multi-step workflows, tool integration, and autonomous decision-making components.
• · Lead end-to-end implementation of AI-driven features, from prototyping (PoC) to production deployment.
• · Build high-performance APIs and backend services for AI applications using frameworks such as FastAPI, Flask, or Spring Boot.
• · Integrate generative AI solutions (LLMs, vector databases, RAG pipelines, orchestration frameworks like LangChain/LangGraph) into enterprise environments.
• · Design and implement robust orchestration and retrieval pipelines for scalable AI applications.
• · Set up and maintain MLOps / LLMOps pipelines and CI/CD workflows for continuous integration, evaluation, and deployment.
• · Ensure software quality through testing, monitoring, observability, and performance optimization.
• · Collaborate closely with clients and cross-functional teams to identify requirements and deliver impactful AI solutions.

What they’re looking for

Select a requirement to inspect fit, evidence or application context.

• Minimum Qualifications:
• · Completed university studies with a strong quantitative or technical background (e.g., Computer Science, Data Science, Engineering, or similar).
• · Ideally, you have already gained some initial consulting and project management experience
• Desired Qualifications:
• · Hands-on experience with cloud AI services.
• · Understanding of MLOps concepts (model registry, monitoring, CI/CD).
• · Knowledge of modern AI/ML frameworks and tools such as PyTorch, TensorFlow, Hugging Face, LangChain, or OpenAI APIs.
• · Awareness of software engineering principles (SOLID, testing, version control).
• · Familiarity with containerization and orchestration (Docker, Kubernetes).
• · Cloud certifications are a plus.

Benefits & working conditions

• · Work on innovative AI and Software Engineering projects across industries (Banking, Insurance, Automotive, Retail, etc.).
• · Expand your skills in areas such as MLOps, cloud architecture, data engineering, and generative AI.
• · Collaborate with top technology partners in the cloud, AI, and automation ecosystem.
• · Access to training, certifications, and interdisciplinary projects.
• · Join a vibrant community with hackathons, conferences, and knowledge-sharing events.
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