AI Engineer ||Contract

Job Profile: AI Engineer

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
  

• Experience with multi-agent and LLM orchestration toolkits (e.g. LangChain, CrewAI, Haystack, AutoGen, etc.)
• Hand-on experience with cloud deployment technologies such
  

• 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)