AI Agent Engineer
valitana
information technology

Job Description:

Valitana is seeking an AI Agent Engineer to support our product leads in identifying, designing, and prototyping AI-driven enhancements across our platforms. This role is ideal for a technically curious, product-minded individual who is passionate about artificial intelligence and eager to apply it in a high-impact, client-facing FinTech environment. The individual in this role will work alongside our product leads, developing a deep understanding of Valitana's platforms, client workflows, and business objectives. Armed with that product knowledge, they will prototype AI-powered solutions, designs, and build agent orchestration patterns, and hardening security & governance controls. This is a high-ownership role shaping how AI is built and deployed in a complex, regulated domain.

Daily Responsibilities:

Prototype and iterate on AI-driven product features in partnership with product leadership across internal tooling, data pipelines, and platform enhancements. Design and build AI agent orchestration infrastructure: dispatch patterns, tool use, structured output parsing, memory management, and multi-agent coordination. Develop and maintain prompt engineering and context engineering systems that drive reliable and auditable agent behavior. Build evaluation pipelines, monitoring, and quality gates for AI agent outputs. Implement security and governance controls for AI systems: prompt injection defense, input/output validation, authority scoping, data boundary enforcement, and auditability. Evaluate and integrate emerging AI tooling and frameworks: MCP servers, retrieval systems, embedding pipelines, and orchestration libraries. Collaborate with cross-functional teams; such as, product, engineering, and business stakeholders to bring AI capabilities from prototype to production. Document system architectures, agent contracts, and operational patterns for technical and non-technical audiences. Stay current with advancements in AI agent frameworks, LLM tooling, and security best practices.

Job Requirements:

3-5+ years of experience in software development, with strong proficiency in Python. Hands-on experience building with LLM APIs (Anthropic, OpenAI, or similar) including tool use, structured outputs, function calling, and multi-turn orchestration. Demonstrated understanding of prompt engineering and context engineering as disciplined engineering practices. Experience with multi-agent systems, agent orchestration frameworks, or AI pipeline design. Security-first mindset with awareness of LLM-specific risks: prompt injection, data leakage, authority boundary enforcement. Demonstrated ability to rapidly prototype and iterate across a range of AI-powered solutions. Ability to work across prototyping (Python, markdown-driven systems) and production (C#, Angular, SQL Server) environments. Strong written and verbal communication skills. Documenting agent architectures and system designs is a core part of this role. Self-directed with the ability to manage multiple concurrent workstreams in a fast-paced environment. Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Preferred: experience or familiarity with financial products, particularly structured credit (CLOs, ABS, leveraged loans).

Compensation:

Base salary range for this role is $140,000�$180,000.

Job Location(s):

Stamford, Connecticut

Source:

Company Career Section

Competition:

n/a

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