AIML Engineer – Need min 12 years of exp
Remote
Contract
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Experience Level: Senior (ML + GenAI + distributed systems)
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, semantic caching, structured tool outputs
- 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.
Best Fit Roles
Senior GenAI Engineer, Agentic AI Engineer, LLMOps Engineer, ML Platform Engineer, AI Solution Architect (GenAI), ML Engineer (Cloud & Production).
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Neha Chaudhary |