Job description

The Senior Forward Deployed Engineer is a hands-on core engineering position responsible for developing agent reasoning logic, custom tool integrations, and resilient execution pipelines embedded with LOB squads. The overall objective of this role is to build production-grade agent reasoning loops, custom Model Context Protocol (MCP) servers, and robust error-handling mechanisms adhering to enterprise safety and quality standards. Responsibilities: • Writes robust, production-quality agent reasoning logic, memory management, and sub-agent delegation workflows in Python. • Develops custom Model Context Protocol (MCP) servers connecting AI agents to enterprise systems (ServiceNow, JIRA, DBaaS, Kafka, internal REST/gRPC services). • Implements resilient error handling, automated retry mechanisms, fallback routines, and Human-in-the-Loop (HITL) escalation triggers. • Integrates Lakera Guardrails for synchronous and asynchronous prompt-injection defense, jailbreak mitigation, and automated PII filtering/redaction. • Collaborates with C12 engineers to build automated regression testbeds and integrate Agentflow Studio evaluation harnesses into deployment workflows. • Advises and coaches junior developers, participating actively in sprint delivery and peer code reviews. • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: • 6+ years of software engineering experience, with 4+ years of strong, professional Python proficiency. • Hands-on experience working with LLM APIs (R2D2 Gateway, OpenAI, Google Vertex AI) and integrating foundation models into backend services. • Experience with REST/gRPC API development, Docker, Git, Linux environments, and CI/CD automation pipelines. • Understanding of prompt engineering, structured JSON output validation (e.g., Pydantic), and vector search/retrieval patterns. • Proven ability to work collaboratively in fast-paced agile squads solving ambiguous technical problems. Education: • Bachelor’s/University degree or equivalent experience; Master’s degree preferred. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: ------------------------------------------------------ Primary Location: New York New York United States ------------------------------------------------------ Primary Location Full Time Salary Range: $142,320.00 - $213,480.00 In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Anticipated Posting Close Date: Oct 22, 2026 ------------------------------------------------------ Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi. Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details. Illinois residents – AI Notice and Right ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View Citi’s EEO Policy Statement and the Know Your Rights poster.

Requirements

Must-haves

Writes robust, production-quality agent reasoning logic, memory management, and sub-agent delegation workflows in Python.
Develops custom Model Context Protocol (MCP) servers connecting AI agents to enterprise systems (ServiceNow, JIRA, DBaaS, Kafka, internal REST/gRPC services).
Implements resilient error handling, automated retry mechanisms, fallback routines, and Human-in-the-Loop (HITL) escalation triggers.
Integrates Lakera Guardrails for synchronous and asynchronous prompt-injection defense, jailbreak mitigation, and automated PII filtering/redaction.
Collaborates with C12 engineers to build automated regression testbeds and integrate Agentflow Studio evaluation harnesses into deployment workflows.
Advises and coaches junior developers, participating actively in sprint delivery and peer code reviews.
6+ years of software engineering experience, with 4+ years of strong, professional Python proficiency.
Hands-on experience working with LLM APIs (R2D2 Gateway, OpenAI, Google Vertex AI) and integrating foundation models into backend services.
Experience with REST/gRPC API development, Docker, Git, Linux environments, and CI/CD automation pipelines.
Understanding of prompt engineering, structured JSON output validation (e.g., Pydantic), and vector search/retrieval patterns.
Proven ability to work collaboratively in fast-paced agile squads solving ambiguous technical problems.
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Technology ------------------------------------------------------
Applications Development ------------------------------------------------------
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New York New York United States ------------------------------------------------------
$142,320.00 - $213,480.00
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Most Relevant Skills
Please see the requirements listed above. ------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------
Oct 22, 2026 ------------------------------------------------------

Nice-to-haves

Bachelor’s/University degree or equivalent experience; Master’s degree preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonaijirarestllmapidockerci/cdagileaccessibility

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Wellness