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Data Analytics & AI Services
Artificial Intelligence Engineer
Remote Full-time 2-5 years Bachelor's Degree
Apply for this Position Position Overview
We are looking for an AI engineer to own applied AI features end to end — retrieval, prompting, tool use, evaluation, and rollout. The hard part is not calling a model; it is making the feature behave predictably enough that a product team is willing to put their name on it.
Key Responsibilities
- Own an applied AI feature end to end: retrieval, prompting, tool use, evaluation, and rollout.
- Build retrieval-augmented flows — ingestion, chunking strategy, embeddings, a vector store such as pgvector, and reranking.
- Design tool-calling and agent flows with explicit boundaries on what the model is allowed to do.
- Build the evaluation harness for the feature: golden cases, regression runs, and human review where automation cannot judge.
- Control cost and latency through caching with Redis, model routing, context budgets, and streaming responses.
- Implement guardrails — input validation, output constraints, refusal paths, and a fallback for when the model is wrong.
- Integrate AI services into product backends written in .NET, Go, or Python with clear contracts.
- Instrument production, and feed the real failures back into the evaluation set rather than fixing them one at a time.
Skills & Qualifications
- 2-5 years of software engineering, including shipping AI-backed features to real users.
- Strong Python and production service engineering with tests and CI.
- Practical retrieval engineering: chunking, embeddings, vector search, reranking, and measured relevance.
- Prompt and context design with structured outputs, plus a way to evaluate both.
- Understanding of the cost and latency trade-offs between model choices.
- Docker and Kubernetes for deploying services.
- The judgment to know when a deterministic implementation beats a model.
Nice to Have
- Agent frameworks and multi-step tool orchestration.
- Fine-tuning or adapter training for a narrow, well-defined task.
- Streaming interfaces and token-level latency work.
- Security review of AI features: prompt injection and data exfiltration paths.
What You'll Gain
- Competitive salary.
- Fully remote — work from wherever you're most productive.
- Annual learning budget for books, courses, and conferences.
- Top-tier hardware and software tooling.
- Private health insurance and flexible time off.
Apply for this Position
Send your CV and a short cover letter. We'll reply by email.
Apply for this Position