GenAI / Investigations Engineering

One 90 minute interview and done, and they MUST be able to meet the hiring timeline outlined below.  There are no exceptions being made if they can’t make the day. 

• October 6: Hiring Day – all interviews will be in person in Rockville
• Role will be hybrid in Rockville, Maryland
• Rate: max for mid $40, for senior $48 per hour on W2

ROLES!

GenAI / Investigations Engineering

Levels: Mid and Senior

• Mid-level: 5+ years of experience
• Senior-level: 7+ years of experience

Project: Building GenAI-based insights and tools for investigators to help them conduct investigations more efficiently. The work will include building integrations and bringing new capabilities into production.

Key Skills / Profile

• Strong application/software engineering background
• Java and/or Python
• AWS, including lightweight/serverless Lambda-based development
• Experience managing production systems
• Experience taking new applications/systems into production
• Familiarity with AI-assisted development/code-generation tools
• Kiro experience is helpful but not required; comparable AI development tools are acceptable
• Comfortable integrating GenAI capabilities into engineering workflows

CAT-Based Response System / Data-Heavy Engineering

Project: New CAT-based response system focused heavily on large-scale trade data. The initiative is moving away from the traditional Blue Sheets mechanism, where investigators request PII and trade data, toward using CAT-based data to support investigations while reducing reliance on PII.

This is a highly collaborative initiative involving multiple teams, including a gateway team, with downstream impact to surveillance capabilities.

Key Skills / Profile

• Strong software/application engineers with a solid understanding of data
• Strong algorithmic/problem-solving skills; ability to identify patterns and relationships across large datasets
• Java or Python
• Strong AWS knowledge
• AWS Glue
• Athena
• ETL/data processing
• Apache Spark
• Familiarity with Presto and/or Trino
• Experience with AWS big-data services
• Understanding of data connections, integrations, and data flows
• Experience using GenAI tools for code generation
• GenAI will also be incorporated into the solution itself, not just used as a developer productivity tool

Ideal Candidate: This is not purely a traditional data-engineering role. They want a strong application/software engineer who is comfortable working with data-intensive systems, algorithms, AWS, and distributed data technologies.

Overall Candidate Themes

Across the openings, the strongest candidates will combine solid software engineering fundamentals, AWS experience, production-system experience, and practical familiarity with GenAI-assisted development. Pradeep's roles lean more toward GenAI-enabled investigation applications and integrations, while Venkat's roles are more data- and algorithm-heavy, with greater emphasis on Spark, ETL, Athena, Glue, and large-scale trade data.