AI Solutions Engineer (Python - APIs - Customer Facing)

Agreement type:

Full‑time remote employment (40 hours/week), directly hired by the client.

Must be available for customer‑facing travel as needed.

Location: Open to candidates based in the United States only.

This role requires current U.S. work Authorization; the client is not available for visa sponsorship.

Our company description

Mission is a platform for hiring, vetting, and managing software development talent. It enables our clients to connect with the world’s best talent to build mission-critical software products.

About the client

The client is an enterprise AI platform that empowers organizations to unlock value from their data by combining autonomous AI agents with human expertise.

The platform accelerates the creation and deployment of enterprise-grade AI solutions, delivering measurable results across industries such as manufacturing, retail, financial services, and infrastructure.

Its mission is to make advanced AI accessible to every organization, bridging the gap between technology and real-world business impact.

About the role

Looking for an experienced AI Engineer with strong applied machine learning fundamentals and hands-on experience building production-grade AI systems.

This is a customer-facing role requiring both deep technical expertise and strong communication skills.

You will partner 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 CrewAI
• Design 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

What You Bring

• 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 or client-facing environments
• Strong Python proficiency
• Experience building scalable backend services and APIs
• Solid foundation in machine learning, deep learning, and Generative AI
• Experience with LLM platforms (e.g., GPT, Gemini)
• Experience with agent frameworks (LangChain, LangGraph, CrewAI)
• Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS)

Professional Skills:

• Strong 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