$200,000 – $235,000
Listed on Plug n Play Portfolio’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
EvolutionIQ is seeking an experienced engineer to lead the development of AI and machine learning systems for their insurance claims product, focusing on large language models, retrieval-augmented generation, and hybrid machine learning approaches. This role suits someone with 5+ years of Python experience, proven success shipping LLM-powered products, and the technical leadership skills to drive complex projects from conception through production deployment.
Our summary, not Plug n Play Portfolio’s wording. The full posting is on their site.
Skills this role names
- Embeddings
- Fine-tuning
- Machine Learning
- Microservices
- Natural Language Processing
- Prompt Engineering
- Python
- Retrieval-Augmented Generation
- Retrieval-Augmented Generation (RAG)
- Statistical Machine Learning
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What they ask for
Required
- 5-8+ years writing Python code
- 1+ year building and deploying LLM-powered products
- Experience leading technical projects end-to-end
- Architectural decision-making for ML/AI systems
- Hands-on experience with statistical ML and hybrid approaches combining LLMs, RAG, and embeddings
- Building and integrating API services in service-oriented or microservice architectures
- Evaluating and interpreting LLM outputs and model predictions
- Prompt engineering and fine-tuning LLMs for domain-specific applications
- Strong communication and collaboration skills
Nice to have
- Translating state-of-the-art AI/ML research into production code
- Collaborating with data labelers and SMEs on training data and evaluation
- Building agentic or autonomous AI systems in production
- Experience with multimodal data (images, audio)
- Mentoring engineers or providing technical leadership across teams