AI Engineer

# AI/ML Automation Engineer ## Company Overview (Company details not provided) ## Job Summary The AI/ML Automation Engineer will play a crucial role in developing and deploying AI-driven solutions, focusing on automation and orchestration of language models. This position contributes directly to the organization’s innovation goals by leveraging advanced technologies to solve complex business challenges. ## Responsibilities - Design and implement agent-based solutions using AI and machine learning frameworks. - Utilize frameworks such as CrewAI, LangChain, AutoGen, or Semantic Kernel for orchestration tasks. - Integrate with APIs and manage asynchronous programming in Python. - Craft and optimize prompts for large language models (LLMs) like OpenAI and Anthropic. - Work with vector databases (e.g., Pinecone, FAISS, Chroma) to manage embeddings effectively. - Analyze and translate business requirements into technical solutions for deployment. ## Qualifications - 5-8 years of experience in AI, machine learning, or automation engineering. - Strong hands-on experience with LLM orchestration frameworks. - Proficiency in Python programming, including asynchronous programming and API integrations. - Deep understanding of various LLMs and expertise in prompt engineering. - Familiarity with vector databases and embedding technologies. - Excellent problem-solving skills with a strong analytical mindset. - Ability to effectively communicate and collaborate with cross-functional teams. ## Preferred Skills - Experience with cloud services or platforms utilized for deploying AI solutions. - Knowledge of DevOps practices related to model deployment and monitoring. - Familiarity with version control systems like Git. ## Experience A minimum of 5 years of relevant experience in AI/ML or automation engineering. ## Environment (Work environment details not provided) ## Salary (Salary information not provided) ## Growth Opportunities (Advancement opportunities not provided) ## Benefits (Benefit details not provided)