ML & Generative AI Engineer

Avanciers is seeking a highly skilled ML & Generative AI Engineer to join our team for an exciting long-term contract with one of our esteemed clients, based in Remote USA.

• Role: ML & Generative AI Engineer | Agentic Systems + LLMOps (Cloud-Native)
• Experience Level: Senior (ML + GenAI + distributed systems)
• Experience: 6 to 15 Years
• Work Mode: 100% Remote (USA)

Summary

• Highly skilled ML & Generative AI Engineer experienced designing and deploying cloud-native, scalable GenAI systems, including agentic architectures, long-context retrieval, evaluation pipelines, and LLMOps. Strong background in production engineering: low-latency pipelines, high-availability services, monitoring/drift detection, and cost optimization. Comfortable leading PoCs into production and partnering with SMEs and stakeholders.
• Core Strengths
• Agentic AI: multi-agent orchestration, task decomposition, dynamic tool use, self-correction loops, LLM evaluation strategies
• LLMOps / MLOps: prompt versioning, A/B testing, model evaluation harnesses, monitoring, CI/CD automation
• RAG at Scale: vector search, graph-enhanced retrieval, long-context strategies
• Cloud-Native Delivery: serverless orchestration, containerized microservices, REST/gRPC APIs, SLAs/uptime requirements
• Security & Governance: IAM/KMS patterns, compliance-aware workflows, auditability and traceability through logging and controls
• Tools / Technologies (Representative)
• AWS (Bedrock, SageMaker, Lambda, Step Functions, S3, Glue), Azure services, GCP/Vertex AI components, LangChain/LangGraph, MLflow, Docker/Kubernetes, Terraform, FastAPI/Flask, vector DB/search tools (Neo4j, vector search services).
• Experience Highlights (Anonymized)
• Built enterprise copilots and workflow augmentation tools using agentic orchestration and evaluation pipelines to reduce hallucination risk in high-stakes workflows.
• Designed low-latency RAG pipelines and production APIs with strong uptime expectations and monitoring.
• Implemented scalable ML pipelines for forecasting, optimization, and real-time scoring with governance controls and automation.
• Delivered data pipeline and ML platform enhancements enabling repeatable deployments and improved reliability.