About VCS HR – AI Engineer (Junior)

We are a fast-growing technology company with 90+ employees and a dynamic, collaborative culture. We are looking for a proactive and dependable AI Engineer (Junior) to work closely with senior developers, product managers, and experts to build

scalable, reliable AI features - such as intelligent recommendations, natural-language

interfaces, predictive analytics, and workflow automation - using modern LLMs and ML tooling. This is an opportunity to have a direct impact on the future of our AI initiatives while continuing to develop your technical skills with real-world production systems!

We work with both the Microsoft stack (.NET, C#, MSSQL) and the React/Node stack

(JavaScript/TypeScript). Coding expertise in either of these domains would be preferred but not required if you are comfortable working within/adjacent to those environments.

Key Responsibilities

Build and integrate AI-driven features into our HCM web and mobile applications
(chat-based interfaces, summarization tools, smart search, recommendations, etc.).
Prototype and evaluate LLM-based solutions using platforms such as Google Gemini.
Develop retrieval-augmented generation (RAG) pipelines using vector databases for
contextualized, domain-aware AI capabilities.
Fine-tune, prompt-engineer, and optimize model interactions for reliability, correctness, and guardrail enforcement.
Develop data pipelines and feature processing workflows to support ML experimentation and model deployment.
Evaluate ML models using metrics appropriate to the use case (classification, ranking, regression, semantic search, etc.).
Collaborate with senior engineers to deploy, monitor, and update ML/AI systems in

production.

Partner with product and domain experts to deeply understand user needs in the HCM space (payroll, scheduling, accruals, workforce management, HR workflows, etc.).
Contribute to architectural discussions and help shape our long-term AI roadmap.
Participate in code reviews, project planning, and cross-functional initiatives.

Required Skills & Qualifications

Hands-on experience working with LLMs and RAG pipelines, especially via:

Google Gemini API or similar

Vector databases (preferably Weaviate)

Familiarity with LLM concepts such as:

Prompt engineering

Embeddings

Retrieval-Augmented Generation (RAG)

Model fine-tuning or adapters (LoRA/PEFT)

Experience with cloud platforms, preferably GCP (Vertex AI, Cloud Run, Cloud Functions, Pub/Sub, BigQuery, etc.)

Ability to design and consume REST APIs

Understanding of modern software engineering best practices:

Git workflows

CI/CD

Testing frameworks

Foundational Knowledge

Bachelor’s degree in Computer Science, Data Science, Engineering, or equivalent
practical experience.
Strong understanding of machine learning fundamentals (supervised/unsupervised
learning, evaluation metrics, feature engineering).
Comfortable working with SQL data stores.

Preferred Skills (Nice to Have)

Experience in Human Capital Management, payroll, timekeeping, workforce
management, or related domains.
Knowledge of TypeScript/Node.js or .NET (C#, SQL).
Familiarity with containerization (Docker) and infrastructure tools (Terraform, Kubernetes).

VCS HR is an Equal Opportunity Employer and does not discriminate on the basis of race, color, national origin, religion, sex, age, disability, marital status, affectional or sexual orientation, gender identity or expression, or any other legally protected status.

Employment is contingent upon the successful completion of a background check.

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