We are looking for a highly motivated and hands-on AI Engineer with strong application development experience and expertise in Generative AI and Agentic AI . The ideal candidate should be capable of designing, developing, and deploying enterprise-grade AI solutions that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and modern cloud-native architectures.
The candidate should have a solid understanding of how AI agents work, common design patterns, orchestration approaches, security and governance considerations, and the challenges associated with deploying AI solutions in production environments.
Key Responsibilities
- Design, develop, and deploy enterprise AI applications and services.
- Build and implement Generative AI solutions using LLMs, RAG, embeddings, and vector databases.
- Develop and orchestrate AI agents and multi-agent workflows for business process automation.
- Integrate AI solutions with enterprise applications, APIs, data platforms, and business systems.
- Design AI solutions with appropriate guardrails, governance, security, and human-in-the-loop controls.
- Evaluate and improve model performance, prompt effectiveness, and user experience.
- Implement monitoring, observability, testing, and evaluation frameworks for AI applications.
- Collaborate with product owners, architects, and engineering teams to translate business requirements into scalable AI solutions.
- Contribute to reusable AI frameworks, accelerators, and platform capabilities.
- Stay current with emerging trends in Generative AI, Agentic AI, and enterprise AI technologies.
Required Skills & Qualifications
Experience
- 5-8 years of overall software engineering experience.
- Minimum 2+ years of hands-on experience with Generative AI solutions.
- Experience building and supporting production-grade applications.
Application Development
- Strong proficiency in Python.
- Hands-on experience with FastAPI, Flask, or similar backend frameworks.
- Experience developing REST APIs and microservices.
- Familiarity with cloud-native development and deployment practices.
- Good understanding of Git, CI/CD pipelines, testing, and software engineering best practices.
Generative AI & Agentic AI
Strong understanding of:
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Embeddings and Vector Databases
- AI Evaluation Techniques
- Agentic AI Concepts and Design Patterns
- Multi-Agent Systems and Agent Orchestration
- Tool Calling and Function Calling
Hands-on experience with one or more of the following is preferred:
- LangChain
- LangGraph
- Semantic Kernel
- Microsoft AI Foundry / Azure AI Foundry
- AutoGen or equivalent agent frameworks
Cloud & AI Platforms
Experience working with one or more cloud platforms:
- Microsoft Azure
- AWS
- Google Cloud Platform (GCP)
Experience with:
- Azure OpenAI or equivalent LLM services
- Azure AI Search or similar search platforms
- Vector Databases and semantic retrieval solutions
Agent Governance & Reliability
Good understanding of:
- Agent memory and context management
- Hallucination mitigation approaches
- Security and access controls
- Human-in-the-loop workflows
- Prompt injection and AI security risks
- Agent monitoring and observability
- Responsible AI principles
- Cost optimisation and governance
Good to Have
- Knowledge of Knowledge Graphs and Business Ontologies.
- Understanding of enterprise data platforms and data ecosystems.
- Experience with or understanding of graph databases.
- Experience building AI copilots, enterprise assistants, or conversational AI solutions.
- Exposure to React or other modern front-end development frameworks.
Desired Attributes
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to independently drive solutions from concept to production.
- Passion for emerging AI technologies and continuous learning.
- Pragmatic mindset with a strong focus on business outcomes.
- Ability to balance innovation with engineering quality and operational excellence.
#LI-KS1
At Wesco, we build, connect, power and protect the world. As a leading provider of business-to-business distribution, logistics services and supply chain solutions, we create a world that you can depend on.
Our Company’s greatest asset is our people. Wesco is committed to fostering a workplace where every individual is respected, valued, and empowered to succeed. We promote a culture that is grounded in teamwork and respect. With a workforce of over 20,000 people worldwide, we embrace the unique perspectives each person brings. Through comprehensive benefits and active community engagement, we create an environment where every team member has the opportunity to thrive.
Learn more about Working at Wesco here and apply online today!
Founded in 1922 and headquartered in Pittsburgh, Wesco is a publicly traded (NYSE: WCC) FORTUNE 500® company.
Wesco International, Inc., including its subsidiaries and affiliates (“Wesco”) provides equal employment opportunities to all employees and applicants for employment. Employment decisions are made without regard to race, religion, color, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, or other characteristics protected by law. US applicants only, we are an Equal Opportunity Employer.
Los Angeles Unincorporated County Candidates Only: Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.
This posting is for a current, active vacancy intended for immediate hire.
