Python-AI_ML-GenAI- Senior Engineer

U.S. Citizenship is required for this role; candidates must be authorized to work in the U.S. as a citizen (no sponsorship or work visaCompany DescriptionObjectways is a specialized consulting company that addresses critical challenges in Big Data analytics, Machine Learning (ML), Artificial Intelligence (AI), and IoT analytics. We take a customer-centric approach by tailoring solutions with state-of-the-art tools and architectures to solve specific problems. Our expertise spans innovative solutions, automated platform creation, and maintenance utilizing Infrastructure as Code principles. We focus on building well-architected systems that ensure security, performance efficiency, cost optimization, and reliability. Objectways stands by its work with a unique warranty support model, ensuring peace of mind for our clients.Role DescriptionThis 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.QualificationsProficiency 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.