AI ML Engineer

Role: AI/ML Engineer

Location: Remote Employment Type: W2 o Required Skills Expert-level Python

Async programming, concurrency, task scheduling

Agentic AI architectures (ReAct, Plan-and-Execute, Multi-Agent Systems)

Autonomous agents, task orchestration, reasoning, memory management

LLMs: OpenAI, Azure OpenAI, Anthropic, open-source models

Prompt Engineering (CoT, Self-Reflection, Few-shot/Zero-shot)

LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI

Custom agent orchestration and tool execution safety

RAG, Vector Databases (FAISS, Pinecone, Azure AI Search)

Short-term and long-term memory systems

Planning, feedback loops, guardrails, failure recovery

AgentOps/MLOps, observability, prompt versioning

Docker, Kubernetes, serverless deployments

Evaluation frameworks, hallucination detection, A/B testing

Security, prompt injection mitigation, Responsible AI

API integrations, SQL/NoSQL databases

Azure (preferred), AWS, or GCP

Identity & access management, secrets management, cost optimization

Preferred / Plus Skills LoRA fine-tuning

Knowledge Graph–based memory

Event-driven architectures and message queues

Multi-agent and hierarchical agent systems

Top Skills Python

Agentic AI Architecture

LLMs & Prompt Engineering

LangChain / LangGraph / Semantic Kernel

RAG & Vector Databases

MLOps / AgentOps

Azure Cloud

Docker & Kubernetes

Evaluation & Guardrails

API & Enterprise System Integration