Generative & Agentic AI Engineer

Hatch IT • Somerville, MA

1d • 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.

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.
• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field required.

Nice To Haves

• Experience applying AI to intelligence, investigative, analytical, or risk-related applications.
• Familiarity with vector databases, graph databases, or knowledge graphs.
• Advanced degree is a plus but not required.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level