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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operating LLM-backed services, with a strong focus on production software engineering, including proficiency in Python and SQL. Capable of designing experiments, managing versioned data, and fine-tuning transformer models while ensuring reliability and performance in backend systems.
Highest-signal resume keywords
Production Software EngineeringPython ProficiencyLLM Agent ExperienceTransformer Model Fine-TuningSQL Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonFastAPIPostgreSQLSQLTransformer ModelsExperiment DesignEvaluation PipelinesObservability SystemsDeterministic RetrievalIdempotency
Soft Skills
Clear Written CommunicationOwnership of Production OutcomesAbility to Learn Quickly
Tools & Technologies
Backend SystemsCoding AgentsMonitoring ToolsEvaluation SystemsHuman-Validated LLM Judges
Industry Keywords
LLMStreamingLatency BudgetsFailure HandlingReproducible Training
Tech Stack
Tools & technologiesPostgresPythonSQL
About the role
Key responsibilities & impact- Own parts of Alpha end to end, including tool families, evaluation pipelines and integrations
- Design tool contracts, model context, capability routing and code-based guardrails
- Build trusted observability and evaluation systems based on traces, failure categorization and human-validated LLM judges
- Operate Alpha as a production service, owning latency, reliability, streaming, rate limits, fallbacks and conversation cost
- Engineer deterministic retrieval, event consumers, planning, allocation logic and money-moving integrations with idempotency, retries and reconciliation
- Evaluate, fine-tune and serve transformer models for Alpha and other Thndr products
- Manage versioned data and evaluations, reproducible training, safe rollouts and rollbacks
- Use SQL, production traces and experiment design to decide between prompting, routing, fine-tuning or model changes
- Lead cross-squad proposals from design through delivery
- Review engineers’ designs and evaluations and improve coding-agent workflows
- Prototype and evaluate AI solutions for other Thndr products and move successful techniques into production
Requirements
What you’ll need- Strong production software engineering experience, ideally with Python, FastAPI, PostgreSQL and queues
- Experience building and running backend systems under failure conditions, including slow dependencies, retries, duplicate events and deploys mid-flight
- Experience shipping an LLM agent or tool-calling system to real users
- Ability to explain agent design choices involving context, tool descriptions, routing and failure handling
- Experience owning operations of an LLM-backed service, including latency budgets, time to first token, streaming, timeouts, fallbacks, cost and incidents
- Experience building evaluations from real traces and identifying misleading metrics
- Hands-on experience fine-tuning and evaluating transformer models using SFT or LoRA
- Experience taking models from training to serving with versioning and monitoring
- Proficiency in SQL and Python analysis
- Ability to design experiments and defend conclusions
- Ownership of production outcomes, incidents, monitoring and follow-up fixes
- Daily experience working with coding agents, verifying their output and structuring workflows
- Clear written communication through design documents and findings
- Breadth across agents, retrieval, models, data or backend
- Ability to learn unfamiliar areas quickly and decide what to explore and when to stop