Role Description This is a contract, on-site role for a Python AI/ML Senior Engineer, based in Phoenix, AZ. The responsibilities include designing, developing, and deploying robust AI/ML models and solutions to solve customer-specific challenges. The engineer will focus on implementing algorithms related to neural networks, pattern recognition, and statistical modeling, as well as fine-tuning these models for accuracy and scalability. Additional responsibilities include collaborating with cross-functional teams, maintaining high-quality code practices, and staying up-to-date with advanced AI/ML frameworks and tools. Qualifications - Proficiency with distributed/multi-tier systems and application development, including excellent programming skills in languages such as Python. - Hands-on experience designing and deploying Generative AI Applications using LLM frameworks (e.g. LangChain, LlamaIndex, Semantic Kernel), embeddings, and vector databases. - Experience building Agentic AI systems with autonomous planning, tool/function calling, memory management, RAG, and multi-agent orchestration. - Solid understanding of ML/DL fundamentals, prompt engineering, model evaluation, and responsible AI practices. - Experience integrating AI solutions with enterprise systems, APIs, event streaming (e.g., Kafka), and relational/NoSQL databases. - Familiarity with cloud platforms (AWS/Azure/GCP), containers (Docker), and CI/CD pipelines (Git, Jenkins, Maven). - Strong foundation in data structures, system design, APIs (REST/HTTP), and Unix/Linux environments. - Excellent communication skills with the ability to translate complex AI concepts into scalable business solutions. - Good understanding of data structures, algorithms and design patterns - Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike. # Building AI Data Solutions That Drive Smarter Decisions We at Objectways, are a boutique shop that helps our customers solve some of the most pressing problems in Big data analytics. Machine Learning / Artificial intelligence and lOT analytics. While Cloud providers provide a plethora of tools. we believe in working backward from a customer problem to provide prescribed use of services and architecture.