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AI Agent Developer: Boston
Boston's biotech corridor (Moderna, Vertex Pharmaceuticals, the Broad Institute, and dozens of clinical-stage companies in Kendall Square) has specific engineering requirements that general AI agent frameworks do not address by default.
Research automation agents need citation reliability that generic RAG pipelines cannot guarantee. LIMS integration requires idempotent tool calls so a crashed agent does not create duplicate experiment records. Long-horizon research tasks need checkpointing. And any agent that touches patient-adjacent data needs HIPAA controls built into the architecture.
We build agents with these requirements accounted for from the start, with a fixed scope tailored to your project.
Describe the research workflow you want to automate.
A hallucinated citation in a drug discovery workflow has real consequences. If the agent queries PubMed, synthesizes a literature summary, and invents a reference that does not exist, a researcher may build a hypothesis on a paper that was never written. The fix is not a better model. It is verification: every citation is checked against the retrieved record before the output is delivered.
LIMS integration breaks in a specific way: an agent makes a tool call to create an experiment record, the network times out before the confirmation returns, and the agent retries. Now there are two identical records in the LIMS. Idempotency keys solve this. Each tool call gets a unique key before execution. The LIMS returns the existing record on retry instead of creating a duplicate.
Research tasks that span 15–20 steps across multiple data sources need checkpointing. The agent saves state at each completed milestone. If it times out at step 11, it reloads the checkpoint and resumes from step 11, not from the beginning. Without checkpointing, a timeout at step 18 of 20 restarts the full 4-hour task.
The model synthesizes references it invented rather than retrieved. Fix: retrieve first, cite only from retrieved records, verify every citation after generation.
Network timeout during record creation causes duplicate entries on retry. Fix: idempotency keys assigned before each tool call. LIMS returns existing record instead of creating duplicate.
A 20-step research task that times out at step 17 restarts from the beginning. Fix: checkpoint state at each milestone to a persistent store. Resume from last checkpoint.
Patient-adjacent data sent to a third-party model API without a BAA is a HIPAA violation. Fix: BAA with model provider, or self-hosted model, or Azure OpenAI in your region.
Typed connectors to PubMed E-utilities API, Google Patents API, and ClinicalTrials.gov. Structured citation objects stored before synthesis. Post-generation verification step for every citation.
Read/write connectors for Labvantage, Benchling, IDBS, and custom LIMS. Idempotency keys on every write operation. Retry logic that reads existing records instead of creating duplicates.
State serialized at each task milestone to a PostgreSQL or Redis store. Agent loads latest checkpoint on startup. Failed tasks resume without restarting. Checkpoint retention configurable.
Access logs for every agent action that touches PHI. Encryption at rest and in transit. No PHI in prompt logs. Model API choice based on your BAA situation. Data retention policies in the schema.
Tell us the data sources, the number of steps, and any compliance requirements. We'll reply within one business day.