Python-AI_ML-GenAI- Senior Engineer

Objectways TechnologiesPhoenix, AZ
Onsite

About The Position

Objectways is a boutique firm specializing in Big Data analytics, Machine Learning/Artificial Intelligence, and IoT analytics. We focus on working backward from customer problems to provide tailored solutions and architectures, rather than simply offering a plethora of tools. This role involves designing, developing, and deploying robust AI/ML models and solutions to address customer-specific challenges, with a focus on implementing algorithms related to neural networks, pattern recognition, and statistical modeling. The engineer will also be responsible for fine-tuning models for accuracy and scalability, collaborating with cross-functional teams, maintaining high-quality code practices, and staying current with advanced AI/ML frameworks and tools.

Requirements

  • Proficiency with distributed/multi-tier systems and application development.
  • 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.
  • 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.

Responsibilities

  • Designing, developing, and deploying robust AI/ML models and solutions to solve customer-specific challenges.
  • Implementing algorithms related to neural networks, pattern recognition, and statistical modeling.
  • Fine-tuning models for accuracy and scalability.
  • Collaborating with cross-functional teams.
  • Maintaining high-quality code practices.
  • Staying up-to-date with advanced AI/ML frameworks and tools.
  • Integrating AI solutions with enterprise systems, APIs, event streaming (e.g., Kafka), and relational/NoSQL databases.
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