Python Developer

Core Responsibilities:

• Design, develop, and maintain backend services using Python or Golang.
• Write clean, efficient, and well-documented code following best practices.
• Build and consume RESTful APIs and microservices.
• Collaborate with QA, DevOps, and product teams for smooth feature delivery.
• Participate in peer code reviews and technical discussions.
• Debug and fix issues, ensuring system stability and performance.
• Continuously learn and apply new technologies and tools in backend development.

Experience and Expertise:

• 0–2 years of software development experience (internships or projects acceptable).
• Proficiency in at least one backend programming language (Python or Golang).
• Strong understanding of object-oriented programming and software fundamentals.
• Knowledge of data structures, algorithms, and database concepts.
• Familiarity with Linux-based development environments.
• Exposure to Git and version control workflows.

Skills:

• Strong analytical and problem-solving ability.
• Willingness to learn, adapt, and take ownership.
• Effective communication and teamwork skills.
• Curiosity for emerging technologies, including AI-driven development, backend technologies, distributed systems, and modern engineering practices.

About Synorus

Synorus is building a next-generation ecosystem of AI-first products. Our flagship legal-AI platform LexVault is redefining legal research, drafting, knowledge retrieval, and case intelligence using domain-tuned LLMs, private RAG pipelines, and secure reasoning systems.

If you are passionate about AI, legaltech, and training high-performance models — this internship will put you on the front line of innovation.

Role Overview

We are seeking passionate AI/LLM Engineering Interns who can:

• Fine-tune LLMs for legal domain use-cases
• Train and experiment with open-source foundation models
• Work with large datasets efficiently
• Build RAG pipelines and text-processing frameworks
• Run model training workflows on Google Colab / Kaggle / Cloud GPUs

This is a hands-on engineering and research internship — you will work directly with senior founders & technical leadership.

Key Responsibilities

• Fine-tune transformer-based models (Llama, Mistral, Gemma, etc.)
• Build and preprocess legal datasets at scale
• Develop efficient inference & training pipelines
• Evaluate models for accuracy, hallucinations, and trustworthiness
• Implement RAG architectures (vector DBs + embeddings)
• Work with GPU environments (Colab/Kaggle/Cloud)
• Contribute to model improvements, prompt engineering & safety tuning

Must-Have Skills

• Strong knowledge of Python & PyTorch
• Understanding of LLMs, Transformers, Tokenization
• Hands-on experience with HuggingFace Transformers
• Familiarity with LoRA/QLoRA, PEFT training
• Data wrangling: Pandas, NumPy, tokenizers
• Ability to handle multi-GB datasets efficiently

Bonus Skills

(Not mandatory — but a strong plus)

• Experience with RAG / vector DBs (Chroma, Qdrant, LanceDB)
• Familiarity with vLLM, llama.cpp, GGUF
• Worked on summarization, Q&A or document-AI projects
• Knowledge of legal texts (Indian laws/case-law/statutes)
• Open-source contributions or research work
• 
  

What You Will Gain

• Real-world training on LLM fine-tuning & legal AI
• Exposure to production-grade AI pipelines
• Direct mentorship from engineering leadership
• Research + industry project portfolio
• Letter of experience + potential full-time offer
• 
  

Ideal Candidate

• You experiment with models on weekends
• You love pushing GPUs to their limits
• You prefer research + implementation over theory alone
• You want to build AI that matters — not just demos

Location - Remote

Stipend - 5K - 10K

Must have exp in Django. [ Mandatory]

• The ability to problem-solve and critically think.
• High level of knowledge of Python and the Django framework.
• Familiarity with event driven programming as well as the MVC.
• Good understanding of SQL databases.
• Good understanding of REST APIs.

Company: SecuvyAI, Backed by Dell Technology Ventures

Location: Hyderabad

About Secuvy: 

At Secuvy, we believe Privacy & Data Security will be a necessity for every global brand. Our mission is to provide best in class Contextual Data Intelligence tools to monitor, automate & simplify data governance for security, compliance & legal teams. We hire out of the box thinkers with the passion, creativity, and perseverance to handle constantly expanding data sprawls and deliver impactful results to our customers. Secuvy’s team comprises experts with Deep AI & Security background who have launched products for Fortune 100. We are backed by Dell Technology Ventures & Top Security VC firms in Silicon Valley. Learn more at www.secuvy.ai 

About the Role: 

Our enthusiasm for leadership driven by purpose is unwavering. We believe that every individual holds latent abilities waiting to be discovered and that a bold, unconventional approach is necessary to unleash them. We have grand aspirations and never settle for mediocrity. We are meticulous in our attention to detail. Our desire to tackle challenging issues and achieve exceptional outcomes for our customers is what drives us to always strive for excellence

Responsibilities: 

• Design and develop high-quality, scalable, and performant software solutions using NodeJS and AWS services.
• Collaborate with cross-functional teams, including product managers, designers, and other engineers, to identify and solve complex business problems.
• Design and develop large-scale distributed systems that are reliable, resilient, and fault-tolerant.
• Write clean, well-designed, and maintainable code that is easy to understand and debug.
• Participate in code reviews and ensure that all code is of high quality and adheres to best practices.
• Troubleshoot and debug production issues and work with the team to develop and implement solutions.
• Stay up-to-date with new technologies and best practices in software engineering and cloud computing.
• Experience with Data Security or Cybersecurity Products is a big asset

Requirements: 

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• At least 2-4 years of professional experience in building web applications using NodeJS and AWS services.
• Strong understanding of NodeJS, and experience with server-side frameworks such as Express and NestJS.
• Strong experience in designing and building large-scale distributed systems, with a solid understanding of distributed computing concepts.
• Hands-on Experience with AWS services, including EC2, S3, Lambda, API Gateway, and RDS.
• Experience with containerization and orchestration technologies such as Docker and Kubernetes.
• Strong understanding of software engineering best practices, including agile development, TDD, and continuous integration and deployment.
• Hands-on Experience with Cloud technologies including Kubernetes and Docker.
• Experience with no-sql technologies like MongoDB or Azure Cosmos
• Experience with a distributed publish-subscribe messaging system like Kafka or redis Pubsub
• Experience developing, configuring & deploying applications on Hapi.js/Express/Fastify.
• Comfortable writing tests in Jest
• Excellent problem-solving and analytical skills, with the ability to identify and solve complex technical problems.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Why Work With Us? 

• Join a rapidly growing startup with a passionate team of experts at the forefront of data privacy & security.
• Opportunity to play a key role in shaping the technical vision and strategy for Fortune 1000 Customers.
• Work in a dynamic, fast-paced environment where you can make an impact and drive change.
• Enjoy a competitive salary, benefits, and opportunities for growth and advancement.
• If you are a passionate, self-motivated, and experienced Senior NodeJS Software Engineer with expertise in AWS and large-scale system design, we would love to hear from you!

Should be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.

KEY RESPONSIBILITIES OF THE POSITION :

• Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
• Solid understanding and experience of deep learning architectures and algorithms
• Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
• Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
• Should have experience of 2-3 production implementations of machine learning projects.
• Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
• Work with business analysts/consultants and other necessary teams to create a strong solution
• Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
• Should developing solutions using python in AI/ML projects
• Should be able to train and build a team of technical developers
• Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
• Desired to have knowledge on any of the cloud solutions such as Azure or AWS
• Desired to have knowledge on any of container technology such as Docker
• Should be able to build strong relationships with project stakeholders

Keywords:

• Python
• Artificial Intelligence
• Machine Learning
• AWS
• Django
• NLP