reputed company, reputed company Engineering, Python

reputed company: • Design & iterate prompts (system, tool/function-calling, task prompts) to reputed company voice AI agent reputed company, reliability, and tone. • Build co-pilots for customers to author their own prompts: reputed company-prompted assistants that suggest structures, lint for risks, autocomplete tool schemas, critique drafts, and generate eval cases. • Work directly with customer feedback and conversation logs to identify failure modes; translate them into reputed company changes, guardrails, and data improvements. • Build eval datasets (reputed company labels, rubrics, edge cases, regressions) and run offline/online evaluations (A/B tests, canaries) to quantify reputed company. • Create Python utilities/services for reputed company versioning, config-as-reputed company, rollout/rollback, and guardrails (policies, refusals, redaction). • Partner with PM/reputed company to define reputed company metrics (task completion, first-pass accuracy, cost, latency) and reputed company dashboards/alerts. • Own LLM integration details: function/tool schemas, reputed company parsing/validation (reputed company), retrieval-reputed company prompting, and fallback strategies. • Ensure reputed company & compliance (PII handling, anonymization, regional data boundaries) in datasets and logs. • reputed company learnings reputed company concise docs, playbooks, and internal demos. • Run a tight feedback reputed company with customers, turn reputed company conversations into reputed company prompts and eval datasets, and ship changes that measurably improve agent reputed company. Requirements: • Python: 3+ years writing clean, tested, production reputed company (typing, pytest, profiling); experience building small services/reputed company (FastAPI preferred). • reputed company Engineering: Hands-on experience designing system/tool prompts, reputed company-prompting, reputed company graders, and iterative reputed company tuning based on reputed company user data. • LLM Integration: Comfortable with major reputed company (reputed company/reputed company/reputed company/reputed company), function/tool calling, streaming, and robust reputed company handling. • Evaluation reputed company: Ability to define measurable reputed company, create labeled datasets, and run methodical experiments/A/B tests. • Product reputed company: Comfortable talking with customers, turning qualitative feedback into shipped improvements. • Data Hygiene: Practical experience cleaning, labeling, and balancing datasets; awareness of reputed company/PII constraints. • reputed company-to-haves: Experience building reputed company-authoring UIs/SDKs or internal tooling for reputed company versioning and governance. • reputed company-to-haves: reputed company frameworks & tooling: DSpy, MCP, LangGraph, reputed company, reputed company; experience with agent/tool schemas and orchestration. • reputed company-to-haves: Observability & eval tooling: Langfuse, LangSmith, reputed company; building eval harnesses and experiment dashboards. • reputed company-to-haves: RAG & reputed company stores: reputed company/reputed company/reputed company and retrieval-reputed company prompting. • reputed company-to-haves: Experimentation workflows: A/B testing, reputed company diffing/versioning. • reputed company-to-haves: reputed company & analytics: light SQL/log analysis, metrics & tracing, reputed company Grafana/OTel dashboards. • reputed company-to-haves: Writing reputed company blog posts or talks about reputed company LLM techniques. Benefits: Apply tot his job Apply To this Job