AI Solutions Engineer
Apetan Consulting
United States
about 1 month ago
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
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
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on dice.comGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
LM
Luis Minvielle
over 2 years ago
BB
Benedikt Bischof
MLOps And AI Driven Development
over 4 years ago
ER
Erin Rifkin
Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud
about 1 year ago
BR
Benjamin Ruschin
Navigating the AI Shift
11 months ago
LM
Luis Minvielle
What Are Large Language Models?
almost 3 years ago
MH
Michael Hunger
Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?
7 months ago