Senior AI/ML Engineer for AI Model Development, Agent orchestration and Deployment

Posted 5 hours ago

Worldwide

Summary

We are seeking a highly autonomous Senior AI/ML Engineer to build, orchestrate, and deploy production-ready AI systems. You will be responsible for end-to-end development, from fine-tuning models to building complex multi-agent workflows and handling scalable cloud deployments. **Key Responsibilities:** * Fine-tune and evaluate open-source/proprietary LLMs. * Build and manage multi-agent workflows and RAG pipelines. * Optimize models for fast, cost-effective inference (e.g., vLLM, TensorRT). * Manage MLOps, containerization (Docker/K8s), and cloud deployments (AWS/GCP/Azure). **Required Skills:** * 5+ years Software Engineering, 3+ years in AI/ML production. * Expert in Python; solid experience with PyTorch and FastAPI. * Deep knowledge of agentic frameworks (LangChain, LangGraph, CrewAI, or AutoGen). * Experience with Vector databases (Pinecone, Qdrant, pgvector) and AI APIs. * Strong MLOps background (CI/CD, model serving, cloud infrastructure). **How to Apply:** Please start your proposal with the word "ORCHESTRATOR" and include: 1. Details of 1-2 relevant LLM/multi-agent systems you have deployed to production. 2. The tech stack used for those projects. 3. Your weekly availability.

  • Less than 30 hrs/week
    Hourly
  • 1-3 months
    Duration
  • Expert
    Experience Level
  • $3.00

    -

    $60.00

    Hourly
  • Remote Job
  • Ongoing project
    Project Type

Contract-to-hire opportunity

This lets talent know that this job could become full time.
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Skills and Expertise
Mandatory skills
Python
Machine Learning
Activity on this job
  • Proposals:15 to 20
  • Last viewed by client:4 hours ago
  • Interviewing:
    2
  • Invites sent:
    1
  • Unanswered invites:
    0
About the client
Member since Jun 25, 2026
  • India
    9:51 PM

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