AI Engineer

Reposted 15 Days Ago
Hiring Remotely in Massachusetts
Remote
1-5 Annually
Junior
Biotech
The Role
The AI Engineer designs, builds, and deploys AI systems focusing on Azure OpenAI and generative modeling, supporting innovation initiatives across clinical operations.
Summary Generated by Built In

About Synterex

Synterex is a global consortium of clinical development and scientific operations specialists serving the life sciences industry. We support pharmaceutical, biotechnology, and emerging innovators across all phases of development — from first-in-human studies through post-approval lifecycle management.

We focus on delivering high-quality medical writing, submission publishing, clinical science, analytics, and operational support, combining deep scientific expertise with dependable execution and thoughtful collaboration.

As part of our ongoing innovation and R&D initiatives, Synterex is expanding its internal AI and technology capabilities to build intelligent tools, agentic workflows, and next-generation solutions that streamline how scientific and operational teams work.

What defines Synterex is our people-first approach. We are a fully remote, collaborative, and supportive organization where talented individuals are trusted, empowered, and encouraged to grow. If you value meaningful work, scientific excellence, flexibility, and a culture grounded in respect and kindness — you will feel at home here.

Position Summary

The AI Engineer (Generative AI & Agents) will design, build, and deploy AI-powered systems with a strong focus on Azure OpenAI, generative modeling, and agentic workflows. This is a junior–mid level, execution-heavy engineering role for someone who thrives on building, experimenting, and bringing concepts to life.

You will work closely with domain and technical leads who provide strategic and conceptual direction, while you focus on translating those ideas into functional prototypes and production-ready capabilities. Your work will support Synterex’s innovation roadmap across medical writing, analytics, clinical operations, and internal automation.

Key Responsibilities

  • Build, test, and deploy GenAI applications using Azure OpenAI (GPT-4/4o, embeddings, fine-tuning, RAG, assistants).
  • Develop agentic workflows using modern frameworks such as LangChain, AutoGen, Semantic Kernel, CrewAI, or LangGraph.
  • Implement backend pipelines for prompts, evaluations, LLM orchestration, and model integration.
  • Translate conceptual ideas into functional prototypes and scalable systems.
  • Integrate models with internal tools, APIs, databases, and structured/unstructured datasets.
  • Apply evaluation tools and methodologies for agentic reasoning and LLM reliability.
  • Ensure security, privacy, and responsible AI practices.
  • Collaborate with domain experts and technical leaders across R&D, analytics, and scientific teams.

Requirements

Education & Experience

  • 1–5 years of AI/ML engineering experience OR strong project/portfolio work demonstrating capability.
  • Formal degrees are optional if technical ability is demonstrated.

Technical Must-Haves

  • Strong hands-on experience in Python.
  • Practical experience with Azure OpenAI or similar LLM platforms.
  • Experience with at least one agent/GenAI framework: LangChain, AutoGen, Semantic Kernel, CrewAI, LangGraph.
  • Ability to independently build prototypes and iterate quickly.
  • Understanding of LLM fundamentals: embeddings, RAG workflows, prompting techniques, model limitations, risks, and evaluation.
  • Experience in backend or system architecture (APIs, pipelines, orchestration).

Mindset & Attributes

  • Curious, self-driven, and experimental.
  • Strong problem-solving orientation with a bias toward execution.
  • Comfortable working in fast-moving, exploratory R&D environments.

Nice-to-Have Skills

  • Experience with agentic or autonomous task orchestration systems.
  • Exposure to multimodal models, fine-tuning, or retrieval pipelines.
  • Experience in a regulated industry (pharma, healthcare).
  • Familiarity with Azure cloud infrastructure.
  • Experience using evaluation tools like Ragas or similar testing frameworks.

Why Join Synterex?

  • Work at the intersection of GenAI, science, and regulated industries.
  • Direct impact on systems used by scientific and clinical teams.
  • R&D-driven environment with strong executive support.
  • Fully remote role within the United States.
  • Opportunities for experimentation, rapid learning, and meaningful ownership of projects.

How to Apply

To apply or request more information, please contact [email protected]
.

Please include your résumé/CV and (optional) a short cover/motivation note.

Equal Employment Opportunity

Synterex provides equal employment opportunities to all employees and applicants and does not discriminate based on race, color, religion, age, sex, national origin, disability, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other protected characteristic.

Top Skills

Autogen
Azure Openai
Crewai
Genai
Langchain
Python
Semantic Kernel
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The Company
Dedham, MA ,
32 Employees
Year Founded: 2008

What We Do

Synterex is a woman-owned, disability-owned business that provides clinical solutions, including publishing, clinical science, project management, medical and regulatory writing services, and IT collaboration services, from process development and optimization to document production.

Our staffers are seasoned and dedicated, with extensive experience doing the work hands-on as well as building and leading teams. We are committed to applying our years of experience and current regulatory knowledge to help clients get their documents on the path to approval, thereby delivering important new therapies to patients in an expedient manner.

We have a proven ability to provide strategic direction across a broad spectrum of therapeutic areas. Areas of therapeutic experience include (but are not limited to):
- Oncology (heme, solid tumor)
- Immuno-oncology
- Vaccines
- Gene therapy
- Oncology supportive care
- CNS
- Radiopharmaceuticals
- Ophthalmology
- Allergy-related disorders
- Rare disease
- Inflammation
- Multiple sclerosis
- Generics
- Biologics
- Opioids/pain management
- Obesity and metabolism
- Sleep disorders
- Orthopedics
- Infectious disease (including COVID-19)

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