Senior AI/ML Engineer (5+ Yr)MindBrain • mysore, karnataka, in
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Senior AI / ML Engineer (5+ Yr)
MindBrain • mysore, karnataka, in
4 days ago
Job descriptionBachelor’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.
Job Title : AI / ML Engineer
Location : Remote
Experience : 4–8 Years
Employment Type : Contract
About the Role
We 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 Responsibilities
- Design, 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 Required
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