FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
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 & technologiesAWSJavaPythonSQL
About the role
Key responsibilities & impact- Identify problems and opportunities with clients and domain experts
- Build AI-powered agents and tools end-to-end, from prototyping and evaluation through production
- Design and implement LLM integrations, including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows
- Define evaluation criteria and build test harnesses for AI systems
- Work directly with clients to understand workflows, validate AI behavior, and iterate toward production quality
- Partner with core engineering teams to generalize client-specific work into product features
- Contribute to shared AI infrastructure, including agent frameworks, tool integrations, and deployment pipelines
- Monitor and maintain production AI systems for reliability, cost, and performance
- Work outside standard business hours occasionally to accommodate client time zones
- Travel up to 15% to client sites, including occasional overnight and multi-day engagements
Requirements
What you’ll need- 3+ years of professional software engineering experience
- Professional experience with Python
- Experience with LLM APIs (Claude, GPT, or similar), including function calling and structured outputs
- Comfort with SQL for data exploration and building data-grounded AI workflows
- Experience with AI-assisted development tools (Claude Code, Codex, or similar)
- Experience building something from zero to one
- Ability to ship quickly, learn from feedback, and iterate
- Ability to see projects through from prototype to production and care about the client experience
- BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience
- Nice to have: experience building agentic systems
- Nice to have: experience with additional backend languages, especially Java
- Nice to have: familiarity with financial data
- Nice to have: exposure to AWS and container-based deployments
- Nice to have: experience with AI evaluation frameworks or methodologies
Benefits
Comp & perks- Bonus
- Equity
- Benefits
- Reasonable accommodation for individuals with disabilities
- Up to 15% travel to client sites, including occasional overnight and multi-day engagements
- Remote work arrangement