LLM Engineer Net Connect Private Limited
Net Connect Private Limited
Office Location
Full Time
Experience: 3 - 3 years required
Pay: INR 1000000 - INR 2000000 /year
Type: Full Time
Location: Bangalore
Skills: GCP, Azure, SQL Azure, GenAI, PyTorch, Tensorflow, LangGraph, LLMs, AutoGen
About Net Connect Private Limited
Job Description
Location: Bangalore
Experience: 3 - 5 Years
Notice Period: Immediate to 15 Days
CTC: 10 - 20 LPA
Role Overview:
We are seeking a skilled and innovative LLM Engineer to design, implement, and optimize advanced GenAI solutions across drug discovery, clinical development, and manufacturing. The ideal candidate will have hands-on experience with LLMs, deep learning, MLOps, and agentic frameworks, with a strong focus on building scalable AI infrastructure and production-ready ML pipelines.
Key Responsibilities:
- Design and implement LLM training and fine-tuning pipelines (e.g., using DeepSpeed, PEFT, RLHF).
- Collaborate with data scientists to customize and deploy LLMs in use cases such as target discovery, clinical trial optimization, and molecule design.
- Build scalable, reusable backend systems and GenAI agentic frameworks (AutoGen, LangGraph) to power R&D applications.
- Develop and maintain robust evaluation frameworks, telemetry systems, and performance monitoring tools.
- Operationalize models on Azure and GCP with MLOps best practices, working closely with the DevSecOps team.
- Design data pipelines to support rapid ML experimentation and model lifecycle management.
- Evaluate and integrate third-party GenAI tools and co-develop solutions with external technology partners.
Required Qualifications:
- Bachelors degree in Computer Science, Engineering, or a related quantitative field.
- 3-5 years of experience in ML/AI engineering, with a strong focus on LLMs and GenAI.
- Proficiency in Python and frameworks such as PyTorch or TensorFlow.
- Experience with LLM technologies, including embedding techniques, RAG, fine-tuning, pre-training, and evaluation benchmarks.
- Hands-on experience with agentic AI frameworks like AutoGen and LangGraph.
- Solid experience in MLOps, model deployment, and cloud infrastructure (Azure, GCP).
- Full-stack engineering mindset with familiarity in CI/CD, testing, code reviews, and scalable software development.
- Strong problem-solving abilities and communication skills.
Preferred:
- Experience in life sciences, healthcare, or pharma R&D applications is a plus.
- Familiarity with data governance, model interpretability, and responsible AI practices.