AI Engineer

About Valsoft Corporation:
Valsoft Corporation is a global acquirer and builder of vertical market software businesses. With operations in over 10 countries and a network of over 125 acquired companies, we provide a permanent home for mission-critical software solutions within their respective niches. Our proven track record demonstrates our commitment to long-term growth and support for the businesses we acquire, empowering them with strategic resources, data-driven insights, expert guidance, and capital investment.

Our decentralized management philosophy fosters innovation and sustainable growth within each portfolio company. We are currently expanding our portfolio and launching dedicated AI initiatives to accelerate innovation and value creation.

The Opportunity:
We are seeking a Senior AI Software Engineer to join one of portfolio companies. You have deep expertise in prompt and context engineering, and are capable of designing, testing, and optimizing generative AI applications s is a hands-on development role. You will collaborate with senior engineers, architects, business stakeholders, and customers to translate requirements into working features, with a strong emphasis on modern development practices and automation.

If you are passionate about AI, comfortable working with a variety of languages (Python, Javascript, Typescript, etc.) and excited by enterprise projects, this role is an excellent fit.

This is a fully remote position, with a preference for candidates located in the Montreal. The expectation is to collaborate in office when needed.

What You Will Do:

• Launch New AI Products:

• Drive the development and launch of new AI-powered products — from concept and prototype to market-ready release — with a focus on rapid iteration and measurable impact.

• Operate with a startup mindset: bias toward action, ownership across the full stack, and the ability to turn ambiguity into execution.

• Build scalable systems that not only attract new customers but also deepen adoption and upsell opportunities across our existing base.

• AI-Powered Development:

• Build RESTful APIs, microservices, front and back-end components using a polyglot approach (Python, JavaScript frameworks)

• Develop context strategies (e.g., embeddings, retrieval augmentation, windowing) for reliability, security, and cost efficiency

• Apply evaluation frameworks (Promptfoo, OpenAI Evals, Lang Smith) to systematically test, compare, and validate LLM outputs

• Build and tune AI models, assistants, agentic workflows, vector databases.

• Collaborate & Execute:

• Work closely with senior engineers and product owners to clarify requirements and deliver solutions that add measurable business value

• Work closely with other teams to design interfaces and get them implemented for consumption by AI tooling and products.

• Mentor engineers on prompt design, evaluation best practices, and context strategies

• Participate in sprint planning, code reviews, and backlog grooming.

• Automation & Quality:

• Integrate regression and adversarial testing into CI/CD pipelines to prevent prompt drift

• Define automated evaluation suites for LLM applications (truthfulness, consistency, compliance)

• Support efforts to reduce technical debt and improve maintainability.

• AI Tooling & Exploration:

• Experiment with and apply Generative AI and ML tools where they can accelerate development or improve user experience

• Create, optimize, and manage complex prompt strategies to maximize AI model performance

• Develop reusable prompt templates for consistent outputs across multiple use cases

• Design and optimize NLQ interfaces that let users query enterprise data (SQL/No
  
  SQL, APIs, vector stores) in natural language, applying context engineering and evaluation frameworks to ensure accuracy, security, and business relevance.

• Problem Solving:

• Troubleshoot and optimize performance, scalability, and data-handling issues

• Adapt to different technical environments across the portfolio.

Requirements for the role:

• Technical Skills:

• 5–8 years of professional software engineering experience with Python and JavaScript frameworks

• Hands-on expertise with Generative AI and ML tools (Promptfoo, OpenAI Evals, Lang Smith, Lang Chain, AWS…