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Artificial Intelligence Senior Associate
Job Location:
Job Location:
Dearborn, MI - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
8 September 2026 (30+ days ago)
Posted:
Application Deadline:
18 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
V2Soft is a global leader in IT services and business solutions delivering innovative and cost-effective technology solutions worldwide since 1998. We have We have headquartered in Bloomfield Hills MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI IT staffing cloud computing engineering mobility testing and more. Certified with CMMI Level 3 and ISO standards V2Soft is committed to quality and security. Beyond our work we actively support local communities and non-profits reflecting our core values. Join us to be part of a dynamic and impactful global company!
Please visit us at to know more.
Skills Required:
Google Cloud Platform
Experience Required:
Bachelors or Masters degree in Computer Science Software Engineering or related field (or equivalent practical experience). 3 years building production software systems including 12 years on ML/AI or LLM-based applications. Proven experience designing and deploying multi-agent or multi-service architectures in production not just notebooks or demos. As one 2026 hiring analysis puts it the job is closer to distributed systems engineering with a probabilistic component than it is to ML research or prompt tweaking . Strong Python proficiency including async/concurrent programming and experience with backend frameworks (FastAPI Flask). Hands-on experience with agent orchestration frameworks LangGraph CrewAI LlamaIndex or equivalent for building stateful multi-step tool-using agent workflows. Practical experience building RAG pipelines: vector databases (pgvector Pinecone Weaviate or Qdrant) embeddings chunking strategies and retrieval evaluation. Cloud deployment experience ideally Google Cloud Platform (BigQuery Cloud Run/GKE Vertex AI Pub/Sub) or equivalent AWS/Azure services. Strong SQL skills and experience with cloud data warehouses. Containerization and CI/CD experience (Docker Kubernetes GitHub Actions/Cloud Build). Experience building evaluation and observability pipelines for LLM/agent systems offline eval sets LLM-as-judge scoring and tracing tools (LangSmith Langfuse OpenTelemetry or equivalent) to track task success latency and cost. Understanding of LLM safety practices: guardrails output validation prompt-injection defense and safe execution of AI-generated code/SQL (sandboxing least privilege). Solid software engineering fundamentals: API design testing version control security best practices.
Education Required:
Bachelors Degree
V2Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds including individuals with disabilities and veterans.
- to view all of our open opportunities and to learn more about our benefits.
Please visit us at to know more.
Skills Required:
Google Cloud Platform
Experience Required:
Bachelors or Masters degree in Computer Science Software Engineering or related field (or equivalent practical experience). 3 years building production software systems including 12 years on ML/AI or LLM-based applications. Proven experience designing and deploying multi-agent or multi-service architectures in production not just notebooks or demos. As one 2026 hiring analysis puts it the job is closer to distributed systems engineering with a probabilistic component than it is to ML research or prompt tweaking . Strong Python proficiency including async/concurrent programming and experience with backend frameworks (FastAPI Flask). Hands-on experience with agent orchestration frameworks LangGraph CrewAI LlamaIndex or equivalent for building stateful multi-step tool-using agent workflows. Practical experience building RAG pipelines: vector databases (pgvector Pinecone Weaviate or Qdrant) embeddings chunking strategies and retrieval evaluation. Cloud deployment experience ideally Google Cloud Platform (BigQuery Cloud Run/GKE Vertex AI Pub/Sub) or equivalent AWS/Azure services. Strong SQL skills and experience with cloud data warehouses. Containerization and CI/CD experience (Docker Kubernetes GitHub Actions/Cloud Build). Experience building evaluation and observability pipelines for LLM/agent systems offline eval sets LLM-as-judge scoring and tracing tools (LangSmith Langfuse OpenTelemetry or equivalent) to track task success latency and cost. Understanding of LLM safety practices: guardrails output validation prompt-injection defense and safe execution of AI-generated code/SQL (sandboxing least privilege). Solid software engineering fundamentals: API design testing version control security best practices.
Education Required:
Bachelors Degree
V2Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds including individuals with disabilities and veterans.
- to view all of our open opportunities and to learn more about our benefits.
Required Experience:
Senior IC
