FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesAWSAzureDockerKubernetesPythonReact
About the role
Key responsibilities & impact- Embed & deploy agents by tackling problems alongside teams
- Own deployments end-to-end: discovery, build, integration, activation, and tuning
- Lead pilots and demos, drive adoption, and clear blockers
- Build agentic systems with reasoning, planning, tool use, and coordination
- Design safe tool-use infrastructure across APIs, databases, and services
- Ship SDKs, patterns, and reusable blueprints for internal teams
- Design and run rigorous evaluations to measure quality and catch regressions
- Own multi-model inference for agents, focusing on latency and throughput
- Set technical direction and standards for agentic systems; mentor engineers
Requirements
What you’ll need- 5+ years in software engineering, with 3+ in AI systems or LLM applications, and production systems shipped end-to-end.
- Strong grasp of LLM agent architectures (ReAct, RAG, tool use, multi-agent) and hands-on agentic orchestration and evaluation.
- Proficiency in Python across a broad stack — pipeline, agent, service, and instrumentation.
- Production experience on AWS and Azure with containerized deployments (Docker, Kubernetes).
- Strong customer and stakeholder instincts; able to impose structure on ambiguity and push back when needed.
- A bias toward shipping and comfort operating without a clean spec.
- Solid understanding of agentic security risks (prompt injection, privilege escalation, data leakage).
- Strong written and verbal communication.
Benefits
Comp & perks- diversity and equal opportunity
- accommodations during the recruitment and selection process
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
software engineeringAI systemsLLM applicationsagent architecturesPythoncontainerized deploymentsDockerKubernetesmulti-model inferenceagentic orchestration
Soft Skills
customer instinctsstakeholder instinctsimposing structure on ambiguitypushing backbias toward shippingoperating without a clean specwritten communicationverbal communication
