Generative & Agentic AI Engineer

Babel Street is the trusted technology partner for the worlds most advanced identity intelligence and risk operations. We deliver advanced AI and data analytics solutions providing unmatched analysis-ready data regardless of language proactive risk identification 360-degree insights high-speed automation and seamless integration into existing systems. Babel Street empowers government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage. The actionable insights we deliver safeguard lives and protect critical assets around the world. Babel Street is headquartered in Reston Virginia with regional offices in Boston MA and Cleveland OH and international offices in Australia Canada Israel Japan and the U.K. For more information visit .

ROLE SUMMARY

As an Engineer on the Generative & Agentic AI team you will play a hands-on role in building deploying and operating AI capabilities that power Babel Streets intelligence applications. You will work closely with senior AI leaders product teams and engineers to implement generative and agentic AI solutions that support investigative analytical and operational workflows across the platform.

This is an execution-focused role for an engineer with strong foundations in machine learning and generative AI who is excited to work on real-world mission-driven applications. You will contribute directly to LLM and SLM pipelines retrieval and grounding systems agent workflows and AI-enabled featureswhile learning how to deliver AI that is safe reliable cost-efficient and production-ready.

This is a hybrid role to be based out of either our Reston VA/Washington DC office or our Somerville MA office.

ROLE FOCUS

This role spans three practical execution areas:

Generative AI & Model Development

You will help implement and operate LLM- and SLM-based systems contributing to prompt development fine-tuning evaluation and inference optimization. You will support retrieval-augmented generation (RAG) pipelines embeddings and grounding techniques to ensure AI outputs areaccurate explainable and aligned with intelligence use cases.

Agentic AI & Workflow Automation

You willassistin building and integrating agent-based workflows that automate analytical tasks connect platform services and support intelligence applications. This includes implementing agent logic tool-use patterns and basic orchestration under the guidance of senior engineers.

AI Engineering & Production Delivery

You will help productionize AI capabilities using modern AI SDLC tools and practices contributing to evaluation testing telemetry and guardrails that reduce hallucinations and ensure safe behavior. You will work within established governance frameworks to ensure AI features are measurable reliable and cost-aware.

KEY RESPONSIBILITIES

• Implement and maintain LLM and SLM pipelines including prompt engineering inference and evaluation.

• Support RAG pipelines embeddings and retrieval systems used in intelligence applications.

• Assistin building agent workflows that automate analytical or operational tasks.

• Write clean maintainable code(Python or others)to support AI services and integrations.

• Contribute to AI evaluation testing and hallucination-mitigation techniques.

• Use AI-assisted development tools (e.g. Copilot Cursor) to improve development velocity and quality.

• Collaborate with Product and Engineering teams to integrate AI capabilities into user-facing workflows.

• Follow established AI governance safety and cost-optimization practices.

QUALIFICATIONS

• 5 years of experience in software engineering machine learning or applied AI roles.

• Hands-on experience working withLLMs and/or SLMs including prompting inference or fine-tuning.

• Experience building or contributing toRAG pipelines embeddings or retrieval systems.

• Familiarity withagent-based systemsor workflow automation (academic professional or open-source).

• Strong programming skills inPython; experience with common libraries (PyTorch TensorFlow etc.).

• Solid foundation in machine learning concepts (training evaluation overfitting metrics).

• Experience using or contributing to modern AI/ML tooling and workflows (ML pipelines evaluation scripts model serving).

• Ability to work in a collaborative fast-moving mission-driven environment.

Preferred

• Experience applying AI tointelligence investigative analytical or risk-related applications.

• Familiarity with vector databases graph databases or knowledge graphs.

EDUCATION

Bachelors degree in Computer Science Engineering Data Science ora relatedtechnical fieldrequired.
Advanced degree is a plus but notrequired.

Benefits at Babel Street (just to name a few...)

• Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical Dental Vision Life & Disability insurances for you and your family!
• Retirement Plans:Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
• Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
• Holidays: Babel Street provides employees with 12 paid Federal Holidays
• Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.

Babel Street is anequalopportunity/affirmative actionemployer. All qualified applicants will receive consideration foremploymentwithout regard to sex gender identity sexual orientation race color religion national origin disability protected Veteran status age or any other characteristic protected by law. FurtherBabel Street will not discriminate against applicants for inquiring about discussing or disclosing their pay or in certain circumstances the pay of their coworkerPay Transparency Nondiscrimination.In addition Babel Streets policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations.