Senior AI Engineer

Responsibilities

• Build modular services and APIs for an internal user interface, with structured responses and evidence links.
• Reuse existing crawler components for approved sources and build scheduled or analyst-triggered batch pipelines for parsing, normalization, deduplication, metadata, and refresh.
• Deliver competitor-event analysis, patient-language search and question answering, and structured reactions to candidate messages grounded in curated evidence.
• Build grounded retrieval and generation that cite sources and distinguish facts, evidence, hypotheses, and launch implications; track prompts, models, outputs, and versions.
• Evaluate retrieval, factual accuracy, citations, consistency, and business usefulness with experts; define human-review checkpoints and release criteria.
• Deploy and support AWS services and workers with secure access, CI/CD, tracing, retries, and monitoring; collaborate across teams through user acceptance testing and stabilization.

Requirements

• Web Scraping / Data Extraction
• Advanced Python and experience with PyTorch, scikit-learn, or similar ML frameworks; modular, tested REST services using FastAPI, Flask, or comparable frameworks.
• Strong SQL and experience with relational databases such as PostgreSQL, plus vector search with pgvector or a comparable system.
• Production LLM applications with prompts, structured outputs, tool use, RAG, embeddings, metadata filtering, source citations, and evaluation.
• Batch pipelines for web or document extraction, normalization, deduplication, incremental refresh, and workflow orchestration.
• AWS, Docker, CI/CD, logging, tracing, monitoring, and secure deployment, including access controls, secrets, and failure handling.
• Independent architecture and delivery under ambiguity, troubleshooting across application and data layers, and clear collaboration with technical and business stakeholders.

Nice to have

• Competitive intelligence, market research, pharmaceutical Commercial, or launch planning.
• Event detection, evidence-linked summaries, synthetic personas, and human review of strategic AI outputs.
• Redis or similar caching systems, AWS Step Functions or Airflow, and integration with enterprise UI platforms.

We offer

• Competitive compensation
• Remote or office work
• Flexible working hours
• Healthcare benefits: medical insurance and paid sick leave
• Continuous education, mentoring, and professional development programs
• A team with an excellent tech expertise
• Certifications paid by the company