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Job Title: AI/ML EngineerLocation: Remote Experience: 4–8 Years Employment Type: ContractAbout the RoleWe are seeking a skilled AI Engineer to support the development and deployment of autonomous agent–based AI systems. The ideal candidate will collaborate within a team to design, build, and optimize real-world AI solutions. This role is hands-on in software engineering and AI agent development, without requiring project leadership responsibilities.Key ResponsibilitiesDesign, develop, and optimize agent strategies to address real-world business challenges.Architect and build agent flows, LLM orchestration, and multi-agent systems using frameworks such as LangChain, CrewAI, AutoGen, Google-ADK, etc.Collaborate with cross-functional teams to identify opportunities for autonomous agent adoption and integration.Implement CI/CD and AgentOps pipelines for agent lifecycle management, monitoring, testing, and continuous improvement.Utilize tools such as MLFlow, LangFuse, AgentOps, LLM Judge, and other evaluation frameworks for agent performance tracking.Own and manage the end-to-end lifecycle of deployed agentic AI systems.Skills & Experience RequiredBachelor’s or Master’s degree in Computer Science or a related field.Strong programming experience in Python (preferred) or Java, with hands-on expertise in LLM/agentic frameworks.Solid understanding of software engineering principles such as OOP, TDD, design patterns, and distributed systems.Practical experience with multi-agent and LLM orchestration tools (e.g., LangChain, CrewAI, Haystack, AutoGen).Experience deploying applications on cloud platforms using Docker and Kubernetes.Proficiency in CI/CD and MLOps tools such as Jenkins, GitHub Actions, MLFlow, and prompt/agent evaluation frameworks.Hands-on experience building REST APIs using frameworks like Flask, FastAPI, Django, Quart.Strong debugging, optimization, and problem-solving skills in AI model and agent workflows.


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