Engineer jobs in United States
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Distinguished Engineer
Fastino Labs
Posted: 10/19/2026Project Engineer, Diver
Marine Solutions, Inc.
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Bright Vision Technologies
Posted: 10/19/2026Associate Substation Engineer
E2 Consulting Engineers, Inc.
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New York University Tisch School of the Arts
Posted: 10/19/2026Refrigeration Engineer
New York University Tisch School of the Arts
Posted: 10/19/2026Industrial Wastewater Process Engineer
Arcadis
Posted: 10/19/2026RF Engineer
Mission Technologies, a division of HII
Posted: 10/19/2026Network Firewall Engineer
Booz Allen Hamilton
Posted: 10/19/2026Global Automation Project Engineer
CHEP
Posted: 10/19/2026Staff Attack Engineer, External
Horizon3.ai
Posted: 10/19/2026Senior Attack Engineer, External
Horizon3.ai
Posted: 10/19/2026Activation Engineer
Stedi
Posted: 10/19/2026Process Modeling Engineer
Zero Carbon Systems
Posted: 10/19/2026Observability Forward Deployed Engineer
Truist
Posted: 10/19/2026Process Optimization Engineer – On-site
Truist
Posted: 10/19/2026Preconstruction Engineer
FTI
Posted: 10/19/2026Unified Collaboration Engineer
Verizon
Posted: 10/19/2026Tier II Engineer
On Call Compliance Solutions
Posted: 10/19/2026Senior Commodity Engineer – Raw Materials
BLUE ORIGIN
Posted: 10/19/2026Unified Collaboration Engineer
Verizon
Posted: 10/19/2026
Distinguished Engineer
Fastino LabsCore Competencies
Role fitUse this summary to align your resume positioning with the role.
Demonstrates expertise in building agentic systems with a focus on Fastino models, including architecture design, performance evaluation, and technical direction across teams. Proficient in prompt engineering, tool design, and high-concurrency microservices for scalable agent workloads.
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Set the technical direction for how agents are built on Fastino models
- Write core code for agentic systems
- Design and own architecture for planning, tool use, memory, and multi-agent orchestration
- Determine where specialized models outperform frontier LLMs inside agent loops using benchmarks and customer workloads
- Build evaluations, telemetry, and feedback loops for agent performance
- Partner with research to turn new model architectures into agent capabilities and shape future research
- Improve agent speed and reliability at scale through low-latency inference, high-concurrency serving, and graceful failure handling
- Drive data and fine-tuning strategy for tool calling, extraction, and routing
Requirements
What you’ll need- 5+ years of software engineering experience, with 3+ years building with LLMs or ML in production
- A track record of shipping agentic systems that real users rely on
- Deep experience across the stack: prompt and context engineering, tool and API design, vector DBs, Kubernetes, and inference serving
- Strong understanding of model behavior: fine-tuning, evals, failure modes, and latency/cost tradeoffs
- Experience setting technical direction across teams
- Clear technical writing and ability to simplify complicated systems
- Bonus: experience building high concurrency microservices for agent workloads
- Bonus: familiarity with GLiNER or other information extraction architectures
- Bonus: open source contributions, papers, or talks on agents or LLM systems
ATS Keywords
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