Tech Lead – Generative AI, Conversational Agents

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🕒 July 3

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Intervalor

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 1992

🤝 B2B

💸 Finance

B2B • Finance

Intervalor is a Stockholm-based distribution and marketing partner for international asset managers, founded in 1992. The firm provides exclusive local marketing and fund distribution services in the Nordic and Baltic markets, working B2B with professional investors and asset management firms to raise and support assets through local offices and client service. Intervalor acts on behalf of the asset managers it represents, offering market access, investor relations, and administrative support while clarifying it does not provide independent investment advice.

📋 Description

• Technical Project Leadership: Take technical ownership of new projects, guiding implementation end-to-end based on Mutant's IAM framework playbooks. • Architecture and Development: Design the solution, configure agents, implement integrations (APIs/Webhooks), and work hands-on in Prompt Engineering and Context Engineering (RAG, etc.). • Lifecycle Management (End-to-End): Lead specification, design, quality testing (LLM QA), deployment, and post-launch performance monitoring of agents. • Client Interaction: Lead technical meetings with end clients to gather requirements, present solutions, align expectations, and troubleshoot. • Team Leadership: Provide technical guidance to specialists assigned to the project/operation, ensuring technical cohesion and smooth delivery. • AI-driven Productivity: Use AI tools extensively day-to-day to scale personal productivity, automate repetitive tasks, and accelerate development.

🎯 Requirements

• Proven experience with Generative AI / LLM projects applied to conversational solutions (text and voice). • Strong expertise in Prompt Engineering and Context Engineering (RAG architectures - Retrieval-Augmented Generation, embeddings, vector databases). • Coding ability for integrations and automations (e.g., Python, MCP, A2A, REST APIs, JSON). • Experience in testing methodologies, monitoring, and evaluating performance of language models (identifying hallucinations, latency, success rate). • Deep understanding of the fundamental concepts of Generative AI and its mathematical/statistical limitations. • Behavioral Skills (Soft Skills) • Assertive Communication: Ability to translate technical complexity for business clients and vice versa. • Autonomy and Self-management: Self-starter profile, able to navigate ambiguous scenarios and independently find solutions. • Hands-on and Lead by Example: Comfortable moving between strategic architectural vision and tactical technical execution. • Product/Journey Mindset: Empathy to understand the end user in critical journeys such as Sales, Support, and Collections, ensuring conversational flow and naturalness. • Previous experience in Customer Experience (CX) operations, contact centers, or support platforms. • Experience migrating legacy/deterministic chatbots to purely generative or hybrid architectures.

🏖️ Benefits

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