AI/ML Engineer

• 5-7 years of software engineering, machine learning engineering, or AI engineering experience.
• Strong proficiency in Python
• Hands-on experience developing and deploying GenAI, Agentic AI, or LLM-powered applications.
• Experience with agent orchestration frameworks such as LangChain/LangGraph
• LLMs
• Solid understanding of Retrieval-Augmented Generation (RAG), prompt engineering, tool calling, agent memory, and multi-agent architectures.
• Experience building RESTful APIs using FastAPI or equivalent frameworks.
• Vector databases and SQL
• Strong experience with Docker, containerization, and cloud-native application development.
• Experience implementing CI/CD pipelines and Git-based development workflows.
• Strong debugging, problem-solving, and performance optimization skills.
• Excellent communication and collaboration skills within cross-functional teams.

Together, we co-create solutions that help businesses grow faster, operate smarter, and make experiences better with technology.

,[ Build and integrate GenAI applications, APIs, agents, and tools. ,   Develop RAG and LLM-based solutions using Python and LangChain/LangGraph. ,   Integrate AI solutions with enterprise applications and data sources. ,   Deploy and maintain AI applications on AWS. ,   Implement testing, monitoring, security, and production-grade engineering practices. ,   Work with AI Scientists to productionize AI/ML solutions. ] Requirements: AI, Python, AWS, Testing, Security, Machine learning, REST API, FastAPI, SQL, Docker, CI/CD Pipelines