Artificial Intelligence Engineer

Job Description

Job Profile: AI Engineer

AI Engineer to support the development and deployment of (autonomous agent) AI systems. This role focuses on

contributing to code and solution design within a team, helping build real-world AI solutions without leading project direction.

Tasks

•Develop, evaluate, and optimize agent strategies for real- world business challenges

•Architect and build agent flows, LLM orchestration, and multi- agent systems leveraging frameworks such as LangChain, CrewAI, AutoGen, Google-ADK etc.

•Develop, evaluate, and optimize agent strategies for real- world business challenges

•Collaborate with stakeholders to identify key opportunities for autonomous agent solutions across the organization

•Implement CI/CD, AgentOps pipelines for agent lifecycle management, monitoring, evaluation and continuous improvement using LLM Judge concepts and AgentOps frameworks such as MLFlow 3.0, LangFuse, etc.

•Own the full lifecycle of deployed agentic AI systems

Skills & Experience

•Bachelor’s or master’s in computer science or a closely related domain

•Advanced coding skills in Python (preferred) or Java, with expertise in agentic/LLM frameworks

•Deep general hand-on software engineering expertise around

best-practices such as OOP or TDD

•Experience with multi-agent and LLM orchestration toolkits (e.g. LangChain, CrewAI, Haystack, AutoGen, etc.)

•Hand-on experience with cloud deployment technologies such

Docker and Kubernetes

•Proficiency with CI/CD, MLOps, AIOps (Jenkins, GitHub Actions, MLFlow, prompt and agent evaluation frameworks)

•Hands-on experience in developing HTTP REST-API / serving frameworks such as Flask, FastAPI, Django, Quart (in pyhon)