NEWPosted 6 hours ago
Job ID: JOB_ID_4232
Job Opportunity: Python-based GenAI Engineer with Chatbot
We are looking for a talented and experienced Python-based GenAI Engineer with expertise in Chatbot development to join our client’s team. This is a contract role (C2C/W2) with a focus on designing, developing, and maintaining cutting-edge GenAI systems and architectures.
Role Responsibilities:
- Architect and design multi-agent AI projects and frameworks on Lang Graph to enable dynamic, goal-oriented agent orchestration.
- Define and lead the technical roadmap for the GenAI ecosystem, ensuring scalability, modularity, and performance.
- Collaborate with the Customer Program Manager to translate business goals into AI-driven capabilities.
- Lead and mentor Python GenAI developers, ensuring high-quality design and coding practices.
- Develop reference architectures, reusable templates, and framework standards for agent design.
- Stay hands-on in developing core components and integrating APIs and external data sources.
- Define best practices for prompt engineering, RAG pipelines, and model lifecycle management.
- Review and optimize cloud deployments for cost, performance, and reliability.
- Partner with DevOps teams to ensure robust CICD integration and monitoring of GenAI services.
- Provide technical leadership and architectural oversight during all phases from design through deployment.
Essential Skills and Qualifications:
- Strong proficiency in Python with 8 years of hands-on experience.
- Proven expertise in architecting and delivering GenAI solutions using LLMs and multi-agent systems.
- Deep hands-on experience in Python and Lang Graph / Lang Chain.
- Strong understanding of Agentic AI frameworks, including agent orchestration, goal decomposition, and contextual memory management.
- Experienced in handling Agent Observability protocols and evaluations.
- Hands-on experience designing and deploying solutions on Azure Cloud (Azure OpenAI, Azure Vault, Azure PAS services, AKS, App Insights, etc.).
- Up-to-date on latest Agentic concepts and protocols like MCP and A2A.
- Strong understanding of system design principles, microservices, API architecture, and secure data flow.
- Experience in containerization (Docker) and orchestration (Kubernetes) for production-grade AI workloads.
- Good understanding of CICD pipelines, GitHub Actions, and DevOps workflows.
- Strong understanding of RAG (Retrieval-Augmented Generation), vector stores, embeddings, and document parsing pipelines.
- Strong collaboration and leadership skills with the ability to guide teams technically while staying hands-on.
- Excellent communication and ability to handle customer demonstrations and technical walkthroughs.
Preferred Qualifications:
- Bachelors or masters degree in computer science, Information systems.
- Prior experience designing Agent Factory / Multi-Agent ecosystems for enterprise GenAI.
- Experienced in implementing Agentic AI patterns on Lang Graph.
- Familiarity with MLOps / LLMOps frameworks for model management and observability.
- Experience integrating structured data sources, unstructured content, and knowledge bases into GenAI pipelines.
- Exposure to AI governance, model safety, and responsible AI practices.
- Knowledge of Azure AI Studio, Prompt Flow, and vector search integrations.
- Experience leading cross-functional AI projects and mentoring developers.
Special Requirements
Contract-C2C/W2. Desirable Skills: Digital: Chatbots / Conversational Agents, Generative AI. Experience Required: 6-8 years.
Compensation & Location
Salary: $100,000 – $150,000 per year (Estimated)
Location: Minnetonka Mills, MN
Recruiter / Company – Contact Information
Email: ort5@gmail.com
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