Integration Engineer II - AI and Python Developer

Integration Engineer II, AI & Engineering/Engineering as a Service
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.

These solutions are powered by engineering for business advantage, transforming mission-critical operations.

We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms.

Our delivery models are tailored to meet each client's unique requirements.

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise.

We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach.

Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Recruiting for this role ends on 8/1/26.

Work You'll Do

You are a hands-on Python and AI Developer who builds, tests, and ships reliable software as part of an agile engineering team.

You contribute to the design and implementation of cloud-native applications and AI-augmented features, growing your technical depth across the stack.

You will work alongside senior engineers to grow your technical skills while making meaningful contributions to our projects.

Key Responsibilities


* Support AI and emerging technology initiatives across business and technology teams.


* Work hands-on with AI/ML, Generative AI, and agentic AI solutions.


* Help develop and prototype AI use cases that solve real business problems.


* Evaluate and apply foundation models, LLMs, and modern AI frameworks.


* Contribute to RAG, memory systems, tool use, and function-calling patterns.


* Support multi-agent workflows and autonomous AI capabilities.


* Assist with AI experimentation, proof-of-concepts, and solution testing.


* Partner with data, engineering, and business teams to move AI solutions toward production.


* Support MLOps, AI Ops, deployment, monitoring, and CI/CD practices.


* Communicate technical AI concepts clearly to both technical and non-technical audiences.


* Promote responsible AI practices, including ethics, governance and bias mitigation.


* Collaborate with product managers, designers, and fellow engineers to translate requirements into technical solutions.


* Identify, diagnose, and resolve bugs and performance issues in development and production environments.


* Assist in breaking down technical requirements into well-scoped tasks and estimates.

A successful candidate would possess these skills:


* Ability to work independently and collaborate as part of a team


* Effective written and verbal communication skills


* Meticulous attention ...