Mindlance
AI Engineer
Washington, District of Columbia, USA · Senior · third party, contract
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About the role
- Title: AI Engineer Standard III Duration: 3 Months - Long Term Location: Washington, DC 20433 Hybrid Onsite: 4 days per week from Day 1, with a full transition to 100% onsite anticipated soon.
Nice to have
- AI Engineer Associate (AI-102) Microsoft Certified:
- Data Scientist Associate (DP-100) Microsoft Certified:
- Solutions Architect Expert (AZ-305) Microsoft Certified:
- Languages: C# and Python (production-grade),.Net, plus TypeScript for service/UI when needed.
- Desired Skills/Abilities (not required but a plus): LangChain, Hugging Face, MLflow
- Kubernetes + GPU scheduling
- vector search tuning (HNSW/IVF).
Skills
- AI Engineer Standard III Duration:
- Months - Long Term Location:
- DC 20433 Hybrid Onsite:
- 4 days per week from Day 1, with a full transition to 100% onsite anticipated soon.
- Essential Job Functions:
- Architect and Implement AI Solutions
- chunking, embeddings, hybrid/semantic ranking, re-ranking, evaluation, and citation display.
- Support multiple LLMs and modalities:
- Provide tool functions with RBAC scopes, schema versioning, rate limiting, request/response validation, and audit trails.
- Deploy Azure AI Agent Service (AGA) patterns for agent registry/broker/governance with agent telemetry and policy enforcement.
Equal opportunity
- Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
This listing is sourced directly from Mindlance's careers page and normalized into a canonical job model.