AI Solutions Engineer (Python - APIs) USA
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AI Solutions Engineer (Python - APIs) USAAgreement type: Full-time remote employment (40 hours/week), directly hired by the client. Looking for an experienced AI Engineer with strong applied machine learning fundamentals and hands-on experience building production-grade AI systems. You will speak directly with enterprise clients to design, build, and deploy scalable AI solutions. You will serve as a technical expert, guide AI implementation strategy, and ensure the successful delivery of intelligent systems in production environments.
What You'll Do:
- Partner directly with enterprise clients to understand requirements and design scalable AI solutions
- Architect and implement intelligent agent systems using frameworks such as LangChain, LangGraph, or CrewAIDesign and deploy Retrieval-Augmented Generation (RAG) pipelines
- Build and integrate LLM-powered applications using platforms such as GPT or Gemini
- Develop scalable backend services and APIs in Python
- Integrate AI solutions with enterprise systems (APIs, logs, data sources)
- Own projects end-to-end: data preparation, model development, deployment, monitoring, and optimization
- Collaborate with internal Engineering and Product teams to ensure seamless implementation
- Provide technical guidance to customers building on the client platform
- Experience 5+ years of experience in AI/ML engineering or backend systems
- Recent hands-on experience building LLM or agent-based systems
- Experience working in enterprise environments
- Technical Skills
- Experience building scalable backend services and APIsSolid foundation in machine learning, deep learning, and Generative AIExperience with LLM platforms (e.g., GPT, Gemini)
- Experience with agent frameworks (LangChain, LangGraph, CrewAI)
- Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS)
- Professional SkillsStrong English communication and stakeholder management skills
- Ability to manage multiple projects independently
- Solution-oriented mindset with strong architectural thinking
Nice to Have:
- Experience with AWS, Azure, or Google Cloud
- Familiarity with MLOps practices
- Experience in AI services or startup environments