Senior Software Engineer – Conversational AI, Python

Job not on LinkedIn

🔥 4 minutes ago

🇪🇪 Estonia – Remote

⏰ Full Time

🟠 Senior

🗣️ LLM Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Glia

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2012

💼 Consulting

📦 Logistics

🤖 Artificial Intelligence

💰 $45M Series D - Glia on 2022-03

Consulting • Logistics • Artificial Intelligence

Glia is an AI-powered customer service platform and ChannelLess® contact center solution that helps banks, credit unions, and financial institutions automate and personalize voice and digital interactions. The company provides virtual assistants, voice AI, agent co-pilots, manager AI analysts, predictive routing, cognitive quality management, and analytics to boost self-service, agent productivity, compliance, and growth metrics (loans, deposits, cost savings). Glia emphasizes security, integrations, and industry-specific features for banking and credit unions, delivering a SaaS platform that replaces legacy CCaaS systems.

📋 Description

• Design, build, and ship the core agentic voice AI framework, including conversation orchestration, tool calling, and runtime architecture • Build and evolve guardrails, grounding, policy checks, and evaluation controls for trustworthy banking LLM agents • Profile, measure, and optimize latency across the real-time voice pipeline • Unify runtime architecture and reduce configuration friction for rapidly launching new banking use cases • Maintain stability and reliability of existing production systems • Collaborate with product, design, and engineering teams across Europe and Vancouver to turn ambiguous problems into shipped outcomes • Use AI-assisted development tools daily and help establish standards for reviewing and verifying agent-generated code

🎯 Requirements

• Production experience building AI systems • Strong understanding of LLM architecture, including prompting and context management, tool use and agentic flows, retrieval and grounding, evaluation, and latency/cost/quality tradeoffs • Real-time or voice AI experience is a strong plus • Experience with agent SDKs such as the Claude Agent SDK or OpenAI Agents SDK is a strong plus • Ability to design complex components, make sound tradeoffs, and identify risks early • Track record of fast, reliable delivery and ownership of quality • Experience directing, verifying, and reviewing AI-generated code • Proactive approach to identifying problems, partnering with PMs, and driving projects to delivery • Adaptability in a fast-paced environment • Ability to learn unfamiliar tools and practices quickly • Clear written and verbal communication and effectiveness on a distributed team • Ability to overlap at least 2 hours daily with Pacific Time, specifically 9:00–11:00 AM PT • Prior tech lead, team lead, or mentorship experience is ideally preferred • Proficiency with Python, Elixir, TypeScript, React/JavaScript, PostgreSQL, DynamoDB, S3, AWS, DataDog, Jenkins, Argo CD, Gemini, Claude Code, Terraform, Kafka, GitHub, Kubernetes, and Docker • Bachelor's degree or higher, as stated in the required application screening question • Applicants must be located and authorized to work lawfully in Poland, as stated in the required application screening questions • Production experience creating or maintaining applications using TypeScript, as stated in the required application screening question • Experience with JavaScript/TypeScript frameworks and related technologies • Experience leading projects involving multiple stakeholders • Experience making or heavily influencing significant technical or architectural decisions on complex projects

🏖️ Benefits

• Equal-opportunity employment and nondiscrimination commitment • Recruitment process includes introduction, practical and team interviews, and a decision and offer