AI/ML Developer

Zvolvant Solutions LLC
Washington, United States of America
24 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Washington, United States of America

Tech stack

API
Artificial Intelligence
Azure
Information Extraction
Python
Natural Language Processing
Search Technologies
Software Deployment
Software Engineering
Systems Architecture
Large Language Models
Generative AI
FastAPI
Machine Learning Operations
Virtual Agents
Docker

Job description

Zvolvant is currently seeking a Senior AI Developer to lead the design and implementation of advanced AI systems that support federal mission objectives. The focus will be on transforming Generative AI, Natural Language Processing (NLP), and Agentic AI solutions into secure, enterprise-level deployments using Microsoft Azure AI technologies., * Design and implement LLM-powered applications utilizing Azure OpenAI.

  • Develop and optimize Retrieval-Augmented Generation (RAG) systems.
  • Create agent-based and tool-using AI architectures.
  • Engineer NLP pipelines for classification, summarization, and information extraction tasks.
  • Build secure, containerized APIs using FastAPI and Docker.
  • Deploy applications to Azure, including AKS or Azure Container Apps.
  • Establish CI/CD pipelines within Azure DevOps.
  • Enhance latency, observability, and optimize token costs.
  • Mentor fellow developers and contribute to architectural standards.

Requirements

  • At least 8 years of software development experience.
  • Minimum of 3 years building AI/ML systems.
  • Proficient in Python development.
  • Hands-on experience with Azure OpenAI.
  • Experience constructing RAG architectures.
  • Integration of vector databases such as Azure AI Search or FAISS.
  • Deploying containerized applications on Azure platforms.
  • Building production APIs, preferably using FastAPI.

Preferred Qualifications

  • Experience with Semantic Kernel or LangChain.
  • Background in designing agent-based AI systems., * Has successfully transitioned AI solutions from proof-of-concept to production environments.
  • Understands the limitations of LLMs and effective mitigation strategies.
  • Approaches system architecture with scalability in mind, beyond prompt engineering.
  • Capable of working independently and providing technical leadership.

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