Generative & Agentic AI Engineer

Babel Street • Reston, VA

14h • Hybrid

About The Position

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 Street’s 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 features—while 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. 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 are accurate, explainable, and aligned with intelligence use cases. Agentic AI & Workflow Automation You will assist in 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.

Requirements

• 5+ years of experience in software engineering, machine learning, or applied AI roles.
• Hands-on experience working with LLMs and/or SLMs , including prompting, inference, or fine-tuning.
• Experience building or contributing to RAG pipelines , embeddings, or retrieval systems.
• Familiarity with agent-based systems or workflow automation (academic, professional, or open-source).
• Strong programming skills in Python ; 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.

Nice To Haves

• Experience applying AI to intelligence, investigative, analytical, or risk-related applications .
• Familiarity with vector databases, graph databases, or knowledge graphs.

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.
• Assist in 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees