Senior AI / ML Engineer (5+ Yr)

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 Bachelor’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.