About the job : 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 :
Bachelors or masters in computer science or a closely related domainAdvanced coding skills in Python (preferred) or Java, with expertise in agentic / LLM frameworksDeep general hand-on software engineering expertise around best-practices such as OOP or TDDExperience with multi-agent and LLM orchestration toolkits (e.g. LangChain, CrewAI, Haystack, AutoGen, etc.)Hand-on experience with cloud deployment technologies such Docker and KubernetesProficiency 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)(ref : hirist.tech)