Python-AI_ML-GenAI- Senior Engineer

Objectways; Phoenix (AZ); On-site; USD 120,000 - 180,000; Full time

Job summary

Objectways in Phoenix, AZ, is seeking a Python AI/ML Senior Engineer for a contract, on-site role. You will design, develop, and deploy robust AI/ML models and solutions to solve customer challenges, focusing on neural networks, pattern recognition, and statistical modeling, with emphasis on scalable production systems.

You will collaborate with cross-functional teams, maintain high-quality code practices, and stay up-to-date with advanced AI/ML frameworks and tools, including Generative AI

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.

Responsibilities

• Design, develop, and deploy robust AI/ML models and solutions to solve customer-specific challenges.
• Focus on implementing algorithms related to neural networks, pattern recognition, and statistical modeling, and fine-tuning for accuracy and scalability.
• Collaborate with cross-functional teams, maintain high-quality code practices, and stay up-to-date with advanced AI/ML frameworks and tools.

Skills

Python

Distributed systems

Generative AI frameworks

LangChain/LlamaIndex/Semantic Kernel

Agentic AI systems

Prompt engineering

APIs/REST

Unix/Linux

Tools

Docker

Git

Jenkins

Maven

LangChain

LlamaIndex

Job description

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.

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.