V-Soft Consulting Group, Inc.

Gen AI Engineer - 100% Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Gen AI Engineer, 100% remote, with a contract length of unspecified duration. The pay rate is competitive. Key requirements include 6+ years of software engineering experience, Azure and AWS expertise, and mandatory certifications in Azure AI and AWS Machine Learning.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
February 6, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Washington, DC
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🧠 - Skills detailed
#API (Application Programming Interface) #Cloud #TensorFlow #.Net #Consulting #Lambda (AWS Lambda) #AI (Artificial Intelligence) #DevOps #S3 (Amazon Simple Storage Service) #Databricks #Agile #Computer Science #AWS Lambda #Data Science #Kubernetes #Deployment #"ETL (Extract #Transform #Load)" #Batch #Storage #Vault #Azure #Azure DevOps #Indexing #TypeScript #Langchain #C# #Azure Databricks #Docker #Azure Data Factory #Azure Machine Learning #AWS (Amazon Web Services) #AWS Machine Learning #ML (Machine Learning) #Amazon CloudWatch #Hugging Face #Redis #SageMaker #MLflow #Python #ADF (Azure Data Factory) #Amazon EMR (Amazon Elastic MapReduce)
Role description
Primary Location: 100% Remote V-Soft Consulting is currently hiring for a Gen AI Engineer - 100% Remote for our premier client. WHAT YOU’LL NEED: Technical Requirements and Certifications Β» Mandatory: β€’ Microsoft Certified: Azure AI Fundamentals (AI-900). β€’ Microsoft Certified: Azure Data Fundamentals (DP-900). β€’ Responsible AI certifications. Preferred: β€’ Microsoft Certified: Azure AI Engineer Associate (AI-102). β€’ Microsoft Certified: Azure Data Scientist Associate (DP-100). β€’ Microsoft Certified: Azure Solutions Architect Expert (AZ-305). β€’ Microsoft Certified: Azure Developer Associate (AZ-204). Education And Experience Β» β€’ Bachelor’s degree in computer science, Engineering, Information Technology, Data Science or equivalent hands-on expertise. β€’ Experience: 6+ years of software engineering experience, with at least 2+ years in applied LLM/GenAI (RAG, agents, eval, safety). β€’ Experience Matrix for Levels: β€’ Level I: 2+ years of experience. β€’ Level II: 5+ years of experience. β€’ Level III: 8+ years of experience. Knowledge, Skills And Abilities Β» β€’ Azure: Azure OpenAI; Azure AI/Search; Azure Machine Learning; Azure Kubernetes Service (AKS); Azure Functions; Azure API Management; Key Vault; Event Hub; App Insights; Log Analytics; Azure Batch; Azure Data Factory (ADF); Azure Databricks. β€’ AWS: Amazon SageMaker; AWS Bedrock; Amazon Kendra; Amazon Comprehend; AWS Lambda; Amazon API Gateway; AWS Secrets Manager; Amazon S3; Amazon CloudWatch; Elastic Kubernetes Service (EKS); Amazon EMR. β€’ Vector DBs & Indexing: Azure AI Search vector storage, Redis, FAISS/HNSW; hybrid search + semantic ranking. β€’ Frameworks: Semantic Kernel, AutoGen, Microsoft Agent Framework, CrewAI, Agno, LangChain. β€’ Local/Edge Inference: running models locally via Docker/Ollama/vLLM/Triton; GPU provisioning quantization (GGUF) for Llama-family models. β€’ GenAI architecture mastery: RAG, vector DBs, embeddings, transformer internals, multimodal pipelines. β€’ Agentic systems: Azure AI Agent Service patterns, MCP servers, registry/broker/governance, secure tool-calling. β€’ Languages: C# and Python (production-grade), .Net, plus TypeScript for service/UI when needed. β€’ Azure & AWS services (see Knowledge Requirements) with hands-on implementation and operations. β€’ Model ops: eval suites, safety tooling, fine-tuning, guardrails, traceability. β€’ Business & delivery: solution architecture, stakeholder alignment, roadmap planning, measurable impact. Desired Skills/Abilities (not Required But a Plus): β€’ Lang Chain, Hugging Face, MLflow; Kubernetes + GPU scheduling; vector search tuning (HNSW/IVF). β€’ Responsible AI: policy mapping, red-team playbooks, incident response for AI. β€’ Hybrid/multi-cloud deployments using Azure Arc and AWS Outposts; CI/CD for AI workloads across Azure DevOps and AWS CodePipeline. Mandatory: β€’ AWS Machine Learning Specialty. β€’ TensorFlow Developer. β€’ Kubernetes CKA/CKAD. β€’ SAFe Agile Software Engineering (ASE). Interested? Qualified candidates should send their resumes to kkomaravolu@vsoftconsulting.com V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. As a valued V-Soft Consultant, you’re eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For more information or to view all our open jobs, please visit www.vsoftconsulting.com or call (844) 425-8425. #MonsterPost