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:

Bachelor's 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.

Experience
3 - 5 Years
Work Level
Level 3 (3-6 Yrs)
Employment Type
Full Time
A
Abhilasha Sarawgi

Industry
Software Engineering
Email
abhilasha.s@netconnectglobal.com
Location
Bangalore