Java-Python Context Engineer

Citi

Quick summary

Work type: On-site
Location: Irving, TX
Salary: $107,120–$160,680 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $153k

This role $134k

$96k most similar roles pay here $209k

This role pays less than 72% of similar roles. Most pay $129,650–$175,500 — the shaded band above. At the midpoint, this role pays about $134k versus about $153k for comparable roles.

Based on 240 similar postings.

Employer

About Citi

Citi is one of the world’s most trusted financial institutions, proudly serving millions of customers across the United States.

Citi currently has 369 open roles on FindRole.

Listed pay typically runs $125,760–$188,640 across 347 roles with salary data.

Most-posted roles

View all roles at Citi

At a glance

TL;DR · Java-Python Context Engineer

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As a senior software engineer on the Applications Development team in Irving, Texas, you will design and build production-grade microservices using domain-driven design (DDD), CQRS, and event sourcing. You will integrate and operationalize large language models (LLMs) and retrieval-augmented generation (RAG) pipelines into these services while ensuring responsible AI practices and observability within a regulated enterprise environment. Additionally, you will manage secrets securely with HashiCorp Vault, implement OAuth 2.0/OIDC for authentication, and adhere to secure coding standards in the financial sector. Proficiency in Python or Java is essential, along with experience with relational databases like PostgreSQL and Oracle, as well as NoSQL databases such as MongoDB and Redis. This role involves working on complex systems that require a deep understanding of distributed data modeling and security best practices.

Skills

Python Java PostgreSQL Oracle MongoDB Redis HashiCorp Vault OAuth 2.0 OIDC mTLS Domain-Driven Design CQRS Event Sourcing RAG pipelines LLMs Prompt Engineering Responsible AI GenAI Observability

What you'll do

Design and build production-grade microservices using domain-driven design principles.
Integrate and operationalize large language models in enterprise-regulated environments.
Implement secure coding practices and manage secrets in financial services contexts.
Proficiently use relational and NoSQL databases for data modeling in distributed systems.
Apply prompt engineering techniques to optimize AI agent performance and observability.

What we're looking for

3+ years of experience designing and building production-grade microservices with DDD, CQRS, and event sourcing.
Proficient in integrating LLMs, RAG pipelines, AI agent frameworks, prompt engineering, responsible AI guardrails, and GenAI observability into enterprise environments for at least 2 years.
Expertise in secrets management (HashiCorp Vault), OAuth 2.0/OIDC, mTLS, and secure coding practices in financial services contexts.
Proficiency with relational databases (PostgreSQL, Oracle) and NoSQL databases (MongoDB, Redis).
Strong understanding of data modeling for distributed systems.

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