Scientist - Natural Language Processing Engineer

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

Duration: 6 months

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

After completion of the internship period, there is a chance to get a full-time opportunity as AI/ML engineer (Up to 12 LPA).

Compensation:

- Joining Bonus: A one-time bonus of INR 2,500 will be awarded upon joining.

- Stipend: Base is INR 8000/- & can increase up to 20000/- depending upon performance matrix.

Key Responsibilities

• Experience working with python, LLM, Deep Learning, NLP, etc..
• Utilize GitHub for version control, including pushing and pulling code updates.
• Work with Hugging Face and OpenAI platforms for deploying models and exploring open-source AI models.
• Engage in prompt engineering and the fine-tuning process of AI models.

Requirements

• Proficiency in Python programming.
• Experience with GitHub and version control workflows.
• Familiarity with AI platforms such as Hugging Face and OpenAI.
• Understanding of prompt engineering and model fine-tuning.
• Excellent problem-solving abilities and a keen interest in AI technology.

To Apply Click below link and submit the Assignment

https://pgagi.in/jobs/28df1e98-f0c3-4d58-9509-d5b1a4ea9754

Brudite is an IT Training and Services company shaping the future of technology with Fortune 500 clients. We specialize in empowering young engineers to achieve their dreams through cutting-edge training, innovative products, and comprehensive services.

Proudly registered with iStart Rajasthan and Startup India, we are supported by industry leaders like NVIDIA and AWS.

Roles and Responsibilities - 

• A can-do attitude to new challenges.
• Strong understanding of computer science fundamentals, including operating systems, Databases, and Networking.
• Knowledge of Python or any other programming language.
• Basic knowledge of Cloud Computing(AWS/Azure/GCP) will be a Plus.
• Basic Knowledge of Any Front-end Framework will be a Plus.
• We operate in a fast-paced, startup-like environment, so the ability to work in a dynamic, agile environment is essential.
• Strong written and verbal communication skills are essential for this role. You'll need to communicate with clients, team members, and stakeholders.
• Ability to learn and adapt to new technology trends and a curiosity to learn are essential

Company Overview:

We are a small, dynamic, and growing AI-focused company delivering cutting-edge AI solutions to our clients. We specialize in implementing real-world applications using Large Language Models (LLMs), Small Language Models (SLMs), Retrieval-Augmented Generation (RAG), Agentic AI systems, and cloud-native services across AWS, Azure, and GCP.

Job Summary:

We are looking for a passionate AI Developer & Solution Provider who thrives on solving real client problems using AI. The ideal candidate will have solid experience with Python, language models, chatbot development, and building scalable solutions using cloud services and modern databases. You will work directly with clients to understand their needs and deliver end-to-end AI-powered solutions.

Key Responsibilities:

• Design, build, and deploy AI/ML solutions using LLMs (e.g., GPT-4, Claude), SLMs, and open-source models.
• Develop and fine-tune chatbots, intelligent agents, and Agentic AI workflows for various client use-cases.
• Implement Retrieval-Augmented Generation (RAG) pipelines to enhance LLM capabilities.
• Build secure, scalable backends using Python and integrate AI components with APIs, databases, and cloud systems.
• Understand client requirements and translate them into technically sound and scalable AI solutions.
• Deploy applications and services using cloud platforms (AWS, Azure, GCP).
• Work with structured and unstructured data, including setting up and managing databases (SQL, NoSQL).
• Stay updated with the latest trends in AI/ML and help bring innovative solutions to the team and clients.
• Document solutions and provide technical support during client handover and implementation.

Required Skills and Experience:

• Strong Python programming experience, especially for AI/ML development.
• Hands-on experience with LLMs, SLMs, OpenAI, Hugging Face, etc.
• Practical knowledge of RAG, vector databases (e.g., FAISS, Pinecone, Weaviate, Chroma).
• Experience with Agentic AI systems, frameworks (e.g., LangChain, AutoGen, CrewAI), and chatbot development.
• Good understanding of databases – both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis).
• Solid experience with cloud platforms: AWS (SageMaker, Lambda), Azure (OpenAI, ML Studio), GCP (Vertex AI, Functions).
• Comfortable interacting with clients and delivering tailored AI solutions.
• Excellent problem-solving and communication skills.

Nice to Have:

• Experience with fine-tuning/custom training of models.
• Experience in deploying scalable APIs (e.g., FastAPI, Flask).
• Background in data engineering or MLOps.
• Familiarity with DevOps, Docker, Kubernetes is a plus.

Why Join Us?

• Opportunity to work on cutting-edge AI solutions with real-world impact.
• Collaborative and flexible work culture.
• Direct exposure to diverse clients and industries.
• Fast-paced environment with learning and growth opportunities.

Job Title: AI Engineer - NLP/LLM Data Product Engineer Location: Chennai, TN- Hybrid

Duration: Full time

Job Summary:

About the Role:

We are growing our Data Science and Data Engineering team and are looking for an

experienced AI Engineer specializing in creating GenAI LLM solutions. This position involves collaborating with clients and their teams, discovering gaps for automation using AI, designing customized AI solutions, and implementing technologies to streamline data entry processes within the healthcare sector.

Responsibilities:

·        Conduct detailed consultations with clients functional teams to understand client requirements, one use case is related to handwritten medical records.

·        Analyze existing data entry workflows and propose automation opportunities.

Design:

·        Design tailored AI-driven solutions for the extraction and digitization of information from handwritten medical records.

·        Collaborate with clients to define project scopes and objectives.

Technology Selection:

·        Evaluate and recommend AI technologies, focusing on NLP, LLM and machine learning.

·        Ensure seamless integration with existing systems and workflows.

Prototyping and Testing:

·        Develop prototypes and proof-of-concept models to demonstrate the feasibility of proposed solutions.

·        Conduct rigorous testing to ensure accuracy and reliability.

Implementation and Integration:

·        Work closely with clients and IT teams to integrate AI solutions effectively.

·        Provide technical support during the implementation phase.

Training and Documentation:

·        Develop training materials for end-users and support staff.

·        Create comprehensive documentation for implemented solutions.

Continuous Improvement:

·        Monitor and optimize the performance of deployed solutions.

·        Identify opportunities for further automation and improvement.

Qualifications:

·        Advanced degree in Computer Science, Artificial Intelligence, or related field (Masters or PhD required).

·        Proven experience in developing and implementing AI solutions for data entry automation.

·        Expertise in NLP, LLM and other machine-learning techniques.

·        Strong programming skills, especially in Python.

·        Familiarity with healthcare data privacy and regulatory requirements.

Additional Qualifications( great to have):

An ideal candidate will have expertise in the most current LLM/NLP models, particularly in the extraction of data from clinical reports, lab reports, and radiology reports. The ideal candidate should have a deep understanding of EMR/EHR applications and patient-related data.

1) Be open to learn new frameworks like Hapi.JS , Typescript , Nest.JS

2) Strong DB concepts , and hands on knowledge on MongoDB , REDIS

3) Experience working with micro-services will be a plus

4) Experience working with JWT and IAM systems will be a plus

5) Experience working with Postman , Swagger will be a plus

6) TDD knowledge is an advantage and also working with Unit Test code and familiar with test code coverage concepts.

7) Strong operating system knowledge is a plus with knowledge of how to manage threads.

8) Working experience with RabbitMQ , Kafka will be a plus

9) Strong knowledge of JS internals is a must.

You can contact me on nine three one six one two zero one three two

What You’ll Do

• Build & tune models: embeddings, transformers, retrieval pipelines, evaluation frameworks.
• Architect Python services (FastAPI/Flask) to embed ML/LLM workflows end-to-end.
• Translate AI research into production features for data extraction, document reasoning, and risk analytics.
• Own the full user flow: back-end → front-end (React/TS) → CI/CD on Azure & Docker.
• Leverage AI coding tools (Copilot, Cursor, Jules) to meet our 1 dev = 4 devs productivity bar.

Core Tech Stack:

• Primary:

Python · FastAPI/Flask · Pandas · SQL/NoSQL · Hugging Face · LangChain/RAG · REST/GraphQL · Azure · Docker

• Bonus:

React.js · Vector Databases · Kubernetes

You Bring:

• Proven track record shipping Python features and training/serving ML or LLM models.
• Comfort reading research papers/blogs, prototyping ideas, and measuring model performance.
• 360° product mindset: tests, reviews, secure code, quick iterations.
• Strong ownership and output focus — impact beats years of experience.

Why Join Intain?

• Small, expert team where your code and models hit production fast.
• Work on real-world AI problems powering billions in structured-finance transactions.
• Compensation & ESOPs tied directly to the value you ship.

📍 About Us

Intain is transforming structured finance using AI — from data ingestion to risk analytics. Our platform, powered by IntainAI and Ida, helps institutions manage and scale transactions seamlessly.

Relevant Experience:

• 3-5 years

Required Skills

• In-depth experience with Python and OO concepts

• Experience with using NumPy, Pandas, or similar AI/ML libraries

• Deep understanding of multi-process architecture and threading limitations of Python

• Expert knowledge of Python and related frameworks including Django and Flask.

• Experience in Machine Learning and Artificial Intelligence

• Good understanding of relational data modeling concepts and comfortable with SQL

• databases.

• Good understanding of AWS / Azure cloud

• Nice to have

• Experience / Exposure in Chat BOT or Voice BOT

• Experience in Lambda Function OR Azure Functions

• Exposure to Financial Domain

Additional Skillsets Desired:

• Ability to work with clients and key stakeholders to ensure requirements are met

• Strong problem-solving and debugging skills

• Passion to work in a start-up environment and readiness to dabble with challenging

• Ability to work in both a solo and team environment

• Proven ability to communicate technical information coherently, both verbally and into internal team and external customers, maintaining a customer focused