Raydar Jobs

Applied AI Engineer

Raydar

Applied AI Engineer

Posted Yesterday

Be an Early Applicant

In-Office

New York, NY, USA

180K-220K Annually

Mid level

In-Office

New York, NY, USA

180K-220K Annually

Mid level

Build and deploy production multi-agent AI workflows using large language models. Architect scalable platform features, convert complex business processes into reusable components, and independently deliver projects from design through release. The role involves client-site requirements gathering, technical presentations to finance professionals, and close collaboration with business stakeholders. Candidates need strong Python and software engineering experience, practical language model API expertise, polished communication, and willingness to work onsite in New York most of the week.

The summary above was generated by AI

About the company

Our client is a fast-growing software company.

The role

Raydar is recruiting for this role on behalf of our client. Design, build and ship production automation powered by large language models within a small, fast-moving engineering group. The work spans the whole lifecycle from initial design through release, with considerable independence and regular in-person time with business stakeholders.

What you'll do

- Build and deploy multi-agent AI workflows that run in production.

- Architect, implement and release scalable features on the core software platform.

- Join clients on-site to scope requirements and explain technical capabilities.

- Turn ambiguous, complex business processes into reusable platform components.

- Drive projects from start to finish with a high degree of independence.

Requirements

What we're looking for

- At least four years of professional software engineering, with a solid grounding in Python.

- Practical experience working with language model APIs and modern AI tooling, including rapid prototyping.

- Evidence of taking initiatives from idea to delivery with little supervision or formal process.

- A systems mindset, with an eye for reusable building blocks and design patterns.

- Polished communication and the confidence to present technical topics to finance professionals.

- Residence in the New York area and willingness to be in the office most of the week.

- Genuine enthusiasm for the AI field.

Bonus points

- Familiarity with Azure, React or Next.js, FastAPI, MongoDB or Redis.

- Background at a fintech, finance or AI-focused company.

- Strong academic background in computer science, math or engineering.

Benefits

Compensation and benefits

- Base salary: USD 180,000 to 220,000 per year

- Equity

- Flexible time off

- Retirement plan

- Health coverage

Location and work model

- New York, NY, United States

- On-site, 4-5 days per week in the office

- Full-time

Similar Jobs

AKASA

Software Engineer

7 Days Ago

Hybrid

New York City, NY, USA

180K-250K Annually

Mid level

180K-250K Annually

Mid level

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Software • Generative AI

Build AI-powered features and products for clinical documentation and medical coding. Develop LLM-driven agentic systems, APIs, services, and production infrastructure across healthcare revenue cycle workflows. Create evaluation frameworks and experimentation loops using statistical and data-driven methods to ensure reliability, auditability, and alignment with coding guidelines and user feedback. Collaborate with product, design, machine learning, clinical, and revenue cycle experts to deliver high-impact SaaS solutions.

Top Skills: Agentic Ai SystemsAPIsEdiFhirHl7Large Language Models (Llms)PythonSaaS

Agentio

Founding Research Engineer, Applied AI

10 Days Ago

In-Office

New York, NY, USA

195K-400K Annually

Entry level

195K-400K Annually

Entry level

AdTech • Artificial Intelligence

Conduct applied AI and machine learning research spanning multimodal intelligence, recommendation, ranking, prediction, foundation models, agents, and decision-making. Define research problems, evaluate and develop models using proprietary data, run rigorous experiments, create training signals and evaluations, and transition successful approaches into production systems. Collaborate with engineering and product teams while shaping the company’s research agenda and technical standards.

Top Skills: Artificial IntelligenceCausal InferenceFine-TuningFoundation ModelsLarge Language ModelsMachine LearningMultimodal ModelsOptimizationRanking ModelsRecommendation SystemsReinforcement LearningRepresentation LearningRetrieval

Raydar

Artificial Intelligence Engineer

6 Hours Ago

In-Office

New York, NY, USA

Entry level

Professional Services • Consulting

Build and deploy AI-enabled full-stack applications for financial and analytical users. Responsibilities include integrating LLM features, designing agent orchestration pipelines, developing Python APIs and React interfaces, maintaining ETL pipelines, implementing investment performance and risk calculations, and deploying containerized services with Kubernetes. The role requires practical experience launching customer-facing AI agent products, strong Python and LLM development skills, quantitative or fintech experience, and comfort working with ambiguous requirements.

Top Skills: Ai Agent FrameworksDjangoEtl PipelinesFastapiKubernetesLlm ApisPythonReact

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
Key Industries: Artificial intelligence, Fintech
Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory