AI Solutions Engineer

Apetan Consulting
United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Software Applications Microsoft Azure Continuous Integration Python (Programming Language) NoSQL Open Source Technology Software Engineering SQL Databases Software Organization
+16 more
Google Cloud Enterprise Software Applications Flask (Web Framework) Large Language Models Prompt Engineering Generative AI Backend Git Fastapi AI Platforms Kubernetes Information Technology Machine Learning Operations Restful APIs Docker Microservices

Job description

We are looking for an AI Solutions Engineer to design, build, and deploy AI-powered solutions that solve real business problems. The ideal candidate combines software engineering skills with expertise in AI/ML, APIs, cloud platforms, and customer-focused solution design., * Design and implement AI-powered applications using Large Language Models (LLMs) and generative AI technologies.

  • Integrate AI services with existing enterprise applications and workflows.
  • Build and maintain APIs, backend services, and AI pipelines.
  • Develop proof-of-concepts (POCs) and production-ready AI solutions.
  • Work closely with product managers, business stakeholders, and customers to understand requirements and translate them into technical solutions.
  • Optimize AI applications for performance, cost, scalability, and security.
  • Evaluate new AI models, frameworks, and tools.
  • Troubleshoot production issues and continuously improve deployed AI systems.
  • Create technical documentation and knowledge-sharing materials.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Strong proficiency in Python.
  • Experience with REST APIs and microservices.
  • Knowledge of Large Language Models (LLMs) and prompt engineering.
  • Experience with AI frameworks such as LangChain, LlamaIndex, or similar.
  • Familiarity with vector databases and Retrieval-Augmented Generation (RAG).
  • Experience with cloud platforms (AWS, Azure, or Google Cloud).
  • Understanding of software development best practices, Git, and CI/CD.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.

Preferred Qualifications

  • Experience with OpenAI, Anthropic, Google Gemini, or open-source LLMs.
  • Knowledge of AI agents and workflow automation.
  • Experience with Docker and Kubernetes.
  • Familiarity with SQL and NoSQL databases.
  • Experience deploying ML/AI models into production.
  • Understanding of AI governance, security, and responsible AI practices.

Technical Skills

  • Python
  • FastAPI or Flask
  • REST APIs
  • LangChain / LlamaIndex
  • Vector Databases (Pinecone, Weaviate, Chroma, FAISS)
  • OpenAI, Azure OpenAI, Anthropic, Gemini APIs
  • Git
  • Docker
  • Kubernetes (preferred)
  • AWS / Azure / Google Cloud
  • SQL & NoSQL databases

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