Applied AI Engineer

Applied AI Engineer

Location: New York NY (Hybrid Wednesday Remote)
Employment Type: Full-Time

HireNow Staffing is actively recruiting multiple seasoned highly skilled Applied AI Engineers to join one of our valued client partners. HireNow Staffing is acting as a direct placement partner for this Applied AI Engineering opportunity within the fintech and institutional investment technology sector.

Position Overview

This position is built for engineers who thrive in fast-moving environments and enjoy building AI-powered applications that solve complex operational problems for institutional finance teams. The selected candidates will work on production-grade AI systems used by sophisticated investment organizations transforming research analytics and operational workflows through modern AI infrastructure and automation.

This is not a research-focused AI role. The client is seeking engineers who can build deploy and scale user-facing AI applications using modern LLM infrastructure agentic frameworks orchestration tooling and full-stack engineering principles.

Candidates must be comfortable operating in highly unstructured startup environments where ownership execution speed and technical depth are essential.

Core Responsibilities

• Build AI-powered client applications leveraging modern LLM infrastructure and orchestration frameworks
• Develop agentic workflows automation layers and intelligent research systems for institutional investment teams
• Design and maintain backend APIs using Python frameworks such as FastAPI Flask or Django
• Build responsive frontend applications using React and modern UI tooling
• Implement MCP-connected data sources orchestration pipelines and AI agent frameworks
• Develop ETL pipelines supporting portfolio analytics securities data research signals and operational workflows
• Create scalable infrastructure supporting observability orchestration AI tooling and workflow automation
• Work directly with client stakeholders to convert operational challenges into production-ready software solutions
• Support Kubernetes-based deployments across client environments
• Continuously iterate on AI products in compressed delivery cycles while maintaining production quality standards

Required Qualifications (Non-Negotiable)

Candidates must meet the following qualifications to be considered for interview:

• 38 years of experience as a Full-Stack Software Engineer or Applied AI Engineer
• Strong Python development expertise with production API experience using FastAPI Flask or Django
• Demonstrated experience building user-facing AI products from concept through deployment
• Hands-on experience integrating frontier LLM APIs such as Anthropic or OpenAI
• Proven experience using agentic AI tooling including MCP servers Claude Code Codex LangGraph OpenClaw LangChain OpenCode or similar frameworks
• Strong understanding of agentic loop architecture state handling orchestration and context management
• Experience building full-stack applications using React and backend API systems
• Comfortable operating within startup-style highly unstructured environments
• Stable employment history with demonstrated ownership of long-term projects and product delivery
• Strong communication skills with ability to collaborate directly with technical and non-technical stakeholders

Preferred Qualifications

• Prior fintech hedge fund institutional investment biotech or quantitative systems experience
• Experience building AI-powered workflow automation tools or financial intelligence platforms
• Familiarity with Kubernetes deployments and cloud infrastructure environments
• Experience working with portfolio analytics risk systems or data-intensive applications
• Strong understanding of data orchestration and distributed system workflows
• Experience working within high-performance engineering teams delivering products rapidly

HireNow Checklist

HireNow Staffing is recruiting for Applied AI Engineers who demonstrate:

• Strong ownership mentality with proven 0-to-1 product development experience
• Deep hands-on AI implementation expertise rather than purely research-based AI backgrounds
• Strong full-stack engineering capabilities with production-level Python and React experience
• Experience building customer-facing AI applications using modern LLM infrastructure
• Ability to move quickly while maintaining software quality and operational reliability
• Clear interest or exposure to fintech quantitative systems or high-stakes data environments
• Stability within prior employment history and consistent technical growth
• Strong problem-solving ability within ambiguous or rapidly evolving environments

HireNow Disqualifiers

Candidates will not be considered if they primarily demonstrate:

• AI research model training fine-tuning or optimization experience without user-facing application development
• Internal tooling-only backgrounds without production customer-facing product ownership
• Big Tech-only environments lacking startup execution and independent ownership experience
• Limited or no hands-on agentic framework implementation experience
• No direct integration experience with modern LLM APIs and orchestration tooling
• Frequent job changes contract-heavy work history or unstable employment backgrounds
• Limited frontend engineering capability or lack of full-stack product development experience

HireNow Package

• Location: Hybrid onsite role in New York NY (Wednesday remote schedule)
• Compensation: $230000 $300144 base salary depending on experience and technical depth
• Additional compensation may include prorated end-of-year bonuses ranging from $25000 $50000
• Equity participation available ranging approximately 0.1% 0.2%
• Full benefits package available
• Opportunity to work directly with elite institutional investment organizations
• Visa sponsorship flexibility available for qualified candidates (excluding net new $100K H1B sponsorship situations)

HireNow Staffing Disclaimer

HireNow Staffing is acting as a direct placement partner for this role. All candidate information is handled confidentially and evaluated against defined requirements. This job description outlines the general scope of responsibilities and qualifications. Duties may evolve based on client needs and business growth. Only candidates meeting the core qualifications will be considered for interview.