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SoftBlues

Designation

Senior

Experience

At least 5 years' experience in AI/ML development with production deployments.

Job Type

Remote

Posted

January 10, 2025

Function

AI Engineer

English Level

Advanced

Senior AI Engineer (Remote)

We are looking for a Senior AI Engineer to join our growing AI team. You will be working on cutting-edge AI projects, building intelligent systems that transform how businesses operate. From LLM-powered automation to multi-agent systems, you will be at the forefront of AI innovation.

Your responsibilities will be:

  • Design and implement AI/ML solutions for enterprise clients
  • Build and optimize LLM-based applications using GPT-4, Claude, and open-source models
  • Develop multi-agent systems and autonomous workflows
  • Create RAG (Retrieval Augmented Generation) systems
  • Implement vector databases and semantic search solutions
  • Collaborate with product teams to define AI features
  • Mentor junior engineers and contribute to team growth

Key Experience:

  • 5+ years of experience in software development
  • 3+ years focused on AI/ML development
  • Production experience with LLMs (OpenAI, Anthropic, or open-source)
  • Strong Python programming skills
  • Experience with vector databases (Pinecone, Weaviate, Qdrant)
  • Familiarity with cloud platforms (GCP, AWS, or Azure)

Skills/Competencies/Attributes:

  • Deep understanding of transformer architectures
  • Experience with prompt engineering and fine-tuning
  • Knowledge of MLOps and model deployment
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication

Big plus:

  • Experience with multi-agent frameworks (LangChain, AutoGen, CrewAI)
  • Contributions to open-source AI projects
  • Published research or blog posts on AI topics
  • Experience with computer vision or speech recognition

We Offer

  • Competitive compensation with equity options
  • Fully remote work from anywhere in the world
  • Flexible working hours
  • Latest MacBook Pro and equipment budget
  • Learning budget for courses and conferences
  • 20 working days paid vacation
  • Health and wellness stipend
  • Regular team retreats

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