Job Openings
Applied AI Engineer
About the job 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:
- 3–8 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: $230,000 – $300,144 base salary depending on experience and technical depth
- Additional compensation may include prorated end-of-year bonuses ranging from $25,000 – $50,000
- 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)