Job Title: Generative AI Developer
Location: Ottawa, ON (Hybrid)
Estimated Duration: 2 Months
AI Engineer (Generative & Agentic AI)
About the Role
We are seeking an experienced AI Engineer with a strong foundation in software engineering and a proven track record of building Generative and Agentic AI solutions. This role is ideal for someone who thrives at the intersection of software development, applied AI research, and practical solution design. You will be responsible for designing, implementing, and deploying production-grade AI systems that leverage the latest in large language models (LLMs), orchestration frameworks, and agentic architectures.
Key Responsibilities
• Design & Development
? Build scalable and robust AI-driven applications using LLMs and agentic frameworks.
? Implement vector database solutions to enable semantic search, RAG (retrieval augmented generation), and knowledge management.
? Develop orchestration pipelines with frameworks like LangChain, Semantic Kernel, AutoGen, and emerging agentic frameworks such as Agno and Parlant.
• Automation & Integration
? Integrate workflow automation platforms (n8n, Power Automate, etc.) with AI systems to deliver end-to-end business solutions.
? Ensure seamless integration with existing enterprise software ecosystems and APIs.
• Quality & Evaluation
? Apply or contribute to LLM evaluation methodologies, leveraging platforms like Arize, DeepEval, or IBM WatsonX for model benchmarking, monitoring, and continuous improvement.
? Establish best practices for testing, performance tuning, and evaluation of agentic/LLM-based workflows.
• Collaboration & Delivery
? Work closely with cross-functional teams including data scientists, software engineers, and product owners.
? Translate business requirements into technical designs and deliver working AI-powered applications in production environments.
Required Skills & Qualifications
• Strong background in software engineering (e.g., system design, distributed systems, APIs, CI/CD).
• Proven experience in building Generative AI and/or agentic systems.
• Hands-on expertise with:
? LLMs and model fine-tuning or integration.
? Vector databases (e.g., Pinecone, Weaviate, Milvus, FAISS, etc.).
? LLM orchestration frameworks (LangChain, Semantic Kernel, AutoGen, etc.).
? Agentic frameworks (Agno, Parlant, or similar).
• Proficiency in at least one major programming language such as Python or .NET (strong engineering fundamentals matter more than specific syntax).
• Experience with workflow automation tools like n8n, dify.ai, Power Automate, or similar platforms.
Nice-to-Have Skills
• Familiarity with LLM evaluation frameworks (Arize, DeepEval, IBM WatsonX).
• Contributions to open-source AI frameworks or communities.
• Experience in MLOps, monitoring, and model deployment pipelines.
Who You Are
• A problem-solver with strong engineering rigor and curiosity for cutting-edge AI.
• Comfortable moving between architecture, coding, and deployment.
• Passionate about transforming abstract business needs into intelligent, production-ready systems.
The pay range that the employer reasonably expects to pay for this position is between CA$60.00 and CA$85.00
Our voluntary benefits offering includes medical, dental, vision and retirement benefits.
Applications will be accepted on an ongoing basis.
Tundra Technical Solutions would like to thank you for the interest you have demonstrated in this opportunity. However, only candidates with the required skills will be contacted.
Tundra Technical Solutions is an Equal Opportunity/Affirmative Action Employer. We welcome and encourage diversity in our workplace.
Not interested in this position, but know somebody who might be? Check out our Referral Reward Program, referrals are a big secret behind our success. As always, we’re on the lookout for great people. And we know that you know great people!
Tundra Technical Solutions is among North America’s leading providers of Information Technology and Engineering staffing and consulting services. Our success and our clients’ success are built on a foundation of service excellence. Rather than continually trying to sell to new clients and companies and simply filling databases with candidates, we focus on developing stronger relationships and deeper knowledge of our existing clients’ challenges and opportunities.
Open ears. Open minds. Open futures