Ai Solution Engineer - (Technology Support)
PointClickCareSalary not specified
Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AI, ConsultingIndustries
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field
- 3+ years of experience in software development, with a focus on AI/ML applications
- Hands-on experience with Azure OpenAI, LangChain, and LangGraph
- Solid understanding of LLM orchestration, agent frameworks, and RAG architectures
- Proficiency in Python and experience with cloud-native development
- Familiarity with Azure services such as Azure Functions, Azure AI Search, Azure Storage, and containerization (Docker/Kubernetes)
Responsibilities
- Develop and deploy Generative AI applications using Azure OpenAI Service (GPT models, embeddings, fine-tuning)
- Use Azure AI Foundry for managing LLM lifecycle and deployment
- Use LangChain and LangGraph for orchestrating multi-agent and multi-step workflows
- Build RAG pipelines using Azure AI Search and vector databases
- Implement AI agents and MCP servers for task automation and reasoning
- Implement prompt engineering strategies and optimize LLM interactions
- Build APIs and microservices to integrate AI capabilities into enterprise applications
- Collaborate with architects and client teams to understand requirements and deliver solutions
- Ensure code quality, performance, and security in cloud-native environments
- Stay up to date with the latest in generative AI frameworks, tools, and best practices
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the company culture like at Lantern?
Lantern fosters a culture founded on trust, respect, inclusion, and belonging, with a growth mindset that celebrates excellence, collaboration, and personal and business growth while prioritizing colleague well-being and client success.
What key skills are required for the Generative AI Developer role?
The role requires hands-on experience developing and deploying Generative AI applications using Azure OpenAI Service, Azure AI Foundry, LangChain, LangGraph, RAG pipelines with Azure AI Search, AI agents, prompt engineering, APIs, microservices, and ensuring code quality in cloud-native environments.
Is this Generative AI Developer position remote?
This information is not specified in the job description.
What is the salary for this role?
This information is not specified in the job description.
What makes a strong candidate for this Generative AI Developer position?
A strong candidate is a hands-on developer with strong experience in the Microsoft Azure AI stack, passionate about building real-world LLM applications, agent-based workflows, and scalable AI infrastructure in a fast-paced consultancy environment.
Later
Social media management and influencer marketing tools
About Later
Later provides tools for social media marketing, focusing on helping marketers, brands, and influencers create engaging content and measure their results. Its main products include Later Influence, which automates influencer marketing campaigns and connects brands with influencers; Later Social Media Management, a tool for planning, scheduling, and analyzing social media posts; and Later Link in Bio, which allows users to drive traffic to multiple destinations from a single link in their bio. Unlike many competitors, Later emphasizes a subscription model that offers various service tiers, ensuring continuous updates and support for users. The company's goal is to establish the first "Social Revenue" platform, enabling clients to achieve predictable and measurable returns from their social media activities.
Vancouver, CanadaHeadquarters
2014Year Founded
$3.7MTotal Funding
SEEDCompany Stage
Consumer Software, Consumer GoodsIndustries
1,001-5,000Employees
Benefits
Hybrid work environment
Education & conference budget
Wellness spending account
Flexible hours & work schedule
Technology bonus
Annual company retreat
Vacation & wellness days
Parental leave top-up
Learning & development workshops
Stock options
Risks
Linktree's growth may overshadow Later's Link in Bio tool.
Integration of Mavely could distract from core offerings.
Instagram's video shift may require adaptation of Later's tools.
Differentiation
Later combines influencer marketing and social media management in a unified platform.
The company offers AI-powered social listening tools for actionable insights.
Later's acquisition of Mavely enhances its social commerce capabilities.
Upsides
AI-enhanced search optimizes influencer discovery and ROI for brands.
Social commerce trends offer new monetization opportunities for creators.
Later's partnerships with major social platforms expand its market reach.
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