AI Agent Engineer

Salary :

$140,000 - 180,000 yearly

Company : Valitana

Job Type : Full Time

Stamford, Ct

Number of Applicants

000+

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Job Description - AI Agent Engineer

About Valitana

Valitana is a rapidly growing FinTech startup providing cutting-edge SaaS solutions for institutional investors. Founded in 2017, our platforms have advanced financial analysis, trade flow, and portfolio management tools. Valitana provides robust, intuitive solutions allowing our clients to make informed decisions by improving their operational workflows.

With over 500+ active users, our institutional clients include CLO investors, CLO managers, hedge funds, asset managers, insurance companies, family offices, and broker dealers. Valitana was Ranked #1 in the "Best CLO Analytics Service", "Best Secondary CLO Platform", and "Best CLO Portfolio Management Service" in the Creditflux CLO Census for 2023.

Position Overview

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.

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.

Qualifications

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).

What We Offer

Base salary range for this role is $140,000–$180,000. Valitana offers a competitive compensation package including base salary and an annual performance bonus. Employees receive a comprehensive benefits package that includes an employer-matched retirement plan, healthcare with medical, dental, vision, and telemedicine, and PTO.

Employees in this role will work in the office Monday through Wednesday with the flexibility to work remotely Thursday and Friday.

Valitana is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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