Act Now! NLP Engineer Jobs in Healthcare Paying 25+ LPA – 2025 Hiring Surge

Position: NLP Engineer

About the Role:

We are seeking a driven NLP Engineer who can help scale, optimize, and deploy large language model (LLM)-based solutions within the healthcare domain. The primary focus of this role is on building and maintaining production-grade, end-to-end NLP systems—including backend architecture design, inference optimization, and efficient model deployment pipelines. While there will be opportunities to train or fine-tune LLMs for specific use cases, your core responsibility is to ensure that these models run at scale, efficiently, and reliably in production environments. In addition to working with cutting-edge LLMs, you will also build and maintain NLP pipelines utilizing already-trained LLMs and embedding models. This includes constructing retrieval-augmented generation (RAG) systems and agentic systems that integrate multiple models and data sources to deliver robust, real-time NLP functionalities.

What We Expect You to Bring (These are essentials!):

• Bachelor’s or Master’s degree in Computer Science or related field.
• 2 years of professional experience (or 1+ year with an advanced degree) in building and deploying ML/NLP systems using Python.
• Proficiency in working with NLP frameworks (e.g., spaCy, HuggingFace , LangChain, etc), deep learning libraries (e.g., PyTorch), and common data preprocessing techniques.
• Practical experience in designing, implementing, and maintaining robust, scalable backend infrastructures for NLP and LLM-based applications.
• Strong knowledge of containerization and version control for building reliable, production-grade systems.
• Experience with large datasets: data cleaning, preprocessing, and structuring.
• Hands-on experience optimizing LLM inference performance using frameworks like vLLM, TensorRT, Ray, etc.
• Experience deploying NLP engineer models in production environments, including load balancing and latency reduction.

We Definitely Want You If You Have:

• NLP engineer Familiarity with building retrieval-augmented generation (RAG) pipelines and integrating embedding models into NLP workflows.
• Exposure to agentic systems that combine multiple models or tools for more dynamic, context-aware NLP solutions.
• Understanding of prompt engineering, and large-scale inference optimization for LLMs.

What You Will Be Doing:

Production-Grade NLP Systems:

• NLP engineer Design and implement scalable, efficient NLP pipelines leveraging already-trained LLMs and embedding models.
• Integrate RAG and agentic components to enhance the capabilities and adaptability of NLP systems.

Inference Optimization & Deployment:

• Optimize model inference performance, improve throughput using techniques and frameworks designed for large-scale LLM deployments.
• Implement best practices for containerization, CI/CD, monitoring, and observability to ensure rapid, reliable deployments.

Occasional Model Adaptation:

• As needed, assist with fine-tuning or adapting LLMs to specific healthcare use cases, while maintaining a focus on long-term scalability and performance.

Collaboration & Continuous Improvement:

• Work closely with cross-functional teams—including NLP researchers, backend engineers, product managers, and front-end developers—to deliver high-quality NLP solutions.
• Participate in code reviews, contribute to architectural discussions, and remain current on emerging NLP and LLM optimization techniques.

Why Join?

• We’re transforming a unique industry with global reach—improving lives for patients worldwide. This is your chance to create impact at scale, solving some of the toughest challenges in a highly regulated space. Innovation thrives here, and you’ll work alongside industry experts, pushing boundaries and shaping the future.

  Our culture is built on hard work, creativity, and adventure. We’ve taken team workations to Bali and Sri Lanka, blending productivity with unforgettable experiences. You’ll enjoy the best of both worlds—high-performance collaboration and a vibrant, supportive environment.

  Compensation is top-tier, reflecting the value we place on talent. But the real reward? The opportunity to lead groundbreaking projects, learn from the best, and leave your mark on an industry ripe for change. Whether you’re refining existing solutions or building something entirely new, your work will matter.

  We move fast, think big, and embrace challenges. If you’re ready to dive into complex problems, grow with a dynamic team, and enjoy the journey along the way, this is your place. Let’s build the future—together.