Applied AI Research Engineer
$223k - $267k • Boston Hub • FullTime
Posted 3mo ago
Job Location
Boston Hub
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
We are seeking an Applied AI Research Engineer to build next-generation AI systems for military planning applications. This role focuses on human-machine teaming and agentic AI, developing multi-agent workflows, fine-tuning models, building retrieval pipelines, and integrating AI with simulation and planning software. You will collaborate with researchers, engineers, and defense experts to transform research concepts into production-ready capabilities, aiming to enhance the speed, explainability, and trustworthiness of complex planning and analysis workflows.
Responsibilities
- Design and build agentic AI systems for planning, decision support, and human-machine teaming.
- Develop AI pipelines integrating foundation models, retrieval, simulation, external tools, and deterministic software.
- Design, run, and analyze experiments to evaluate model and agent performance, reliability, traceability, latency, cost, and user trust.
- Fine-tune, distill, and evaluate foundation models for domain-specific planning, reasoning, and decision-support tasks.
- Build datasets, retrieval pipelines, automated benchmarks, and experiment infrastructure.
- Partner with software engineers to transition research prototypes into scalable AI services.
- Collaborate with domain experts to translate operational workflows into AI-enabled capabilities.
Requirements
- Bachelor's or Master's degree in Computer Science, Machine Learning, Engineering, Mathematics, Physics, or a related technical field, or equivalent practical experience.
- 3+ years building AI, machine learning, or applied research systems.
- Strong Python engineering skills.
- Experience with PyTorch and modern LLM tooling (Transformers, vLLM, Hugging Face, etc.).
- Experience building or deploying agentic AI systems, tool-calling workflows, or multi-step reasoning pipelines.
- Experience fine-tuning, evaluating, or serving language models.
- Experience with retrieval-augmented generation, embeddings, vector search, or knowledge retrieval systems.
- Strong understanding of experiment design, benchmarking, and model evaluation.
- Ability to move quickly from research prototype to production-quality implementation.
- Eligible to obtain a U.S. security clearance.
Benefits
- Health care plan with 100% premium coverage, including medical, dental, and vision.
- 401k with 5% matching.
- Paid Time Off (uncapped vacation, plus sick and public holidays).
- Flexible hybrid or remote work options.