US AI Software Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
In this role you will:- Design modular APIs SDKs and microservices to integrate LLMs retrieval-augmented generation (RAG) traditional ML models and data pipelines.- Drive interoperability with existing ML systems (e.g. forecasting attribution anomaly detection) and support downstream apps like dashboards web tools and chat interfaces.- Partner closely with data science engineering and sales ops to embed context-aware intelligence in decision-making tools.- Lead technical decision-making on infrastructure components embedding safety mechanisms (e.g. autonomy sliders grounding checks model monitoring).- Build scalable pipelines for multi-modal agent input memory and semantic routing.- Collaborate closely with business teams to incorporate AI into their weekly cadences.- Develop and maintain services that embed GenAI capabilities into production systems.- Collaborate with frontend and UX teams to integrate GenAI into dashboards and internal tools.- Own parts of the platform API layer connecting LLM agents with user-facing apps.- Ensure scalability performance and observability of deployed GenAI services.- Support continuous delivery of new features with unit testing and CICD best practices.
- 8 years of experience in Software Development ML and/or data science with recent focus on GenAI and LLMs.
- Eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
- Ability to lead development of AI Software from start to finish.
- Strong JavaScript expertise. Experienced in Front-end development using React and API development with Express.
- Experience building REST/GraphQL APIs and integrating with external services
- Comfort with ambiguity. Ability to architect a full orchestrator and business context layer for sales.
- Proficiency in Python (FastAPI LangChain or similar frameworks) prompt engineering and RESTful API design.
- Hands-on experience with LLM APIs embeddings vector databases and RAG workflows.
- Solid grounding in data structures async programming and pipeline orchestration.
- Experience working with monitoring and observability tools (e.g. Prometheus OpenTelemetry Weights & Biases).
- Familiarity with telemetry and evaluation frameworks for AI agents.
- Experience working with data science teams on insights generation leveraging LLMs.
- Knowledge of project management productivity and design tools such as Wrike and Sketch.
- Strong time management skills with the ability to collaborate across multiple teams.
- Proven experience designing scalable cloud-native platforms (e.g. AWS GCP or on-prem hybrid).
- Able to balance competing priorities long-term projects and ad hoc requirements.
- Ability to work in a fast-paced dynamic constantly evolving business environment.
- Familiarity with Gen AI paradigms.
- B.S Degree in Computer Science/Engineering or equivalent work experience.
- Strong experience articulating and translating business questions into AI solutions.
- Communicate results and insights effectively to partners and senior leaders as well as both technical and non-technical audiences.
- Experience with anomaly detection and causal inference models.
- Sound communication skills - adept at messaging domain and technical content at a level appropriate for the audience. Strong ability to gain trust with stakeholders and senior leadership.
- Proven experience working with LLMs and GenAI frameworks (LangChain LlamaIndex etc.).
- Familiarity with embedding retrieval algorithms agents and data modeling for vector development graphs.
- Other complementary technologies for distributed systems architecture and asynchronous messaging agent communication and catching like RabbitMQ Redis and Valkey are preferred.
- Advanced Degree (MS or Ph.D.) in Economics Electrical Engineering Statistics Data Science or a similar quantitative field is preferred.
Key Skills
- Spring
- .NET
- C/C++
- Go
- React
- OOP
- C#
- Data Structures
- JavaScript
- Software Development
- Java
- Distributed Systems
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