Python Developer

Role & Responsibilities

work with peers in Product, QA, and other Engineering departments;

coach and mentor team members;

cautiously drive adoption of new technologies and processes;

preserve our engineering values of quality, scalability, and maintainability;

“see around corners” — identify blind spots and prioritize work across teams;

work with international teams to ensure successful product development and delivery; and

own the overall architecture and systems engineering for your products.

Job Description:

Summary

The Data Engineer will be responsible for designing, developing, and maintaining the data infrastructure. They must have experience with SQL and Python.

Roles & Responsibilities:

● Collaborate with product, business, and engineering stakeholders to understand key metrics, data needs, and reporting pain points.

● Design, build, and maintain clean, scalable, and reliable data models using DBT.

● Write performant SQL and Python code to transform raw data into structured marts and reporting layers.

● Create dashboards using Tableau or similar tools.

● Work closely with data platform engineers, architects, and analysts to ensure data pipelines are resilient, well-governed, and high quality.

● Define and maintain source-of-truth metrics and documentation in the analytics layer.

● Partner with product engineering teams to understand new features and ensure appropriate

instrumentation and event collection.

● Drive reporting outcomes by building dashboards or working with BI teams to ensure timely delivery of insights.

● Help scale our analytics engineering practice by contributing to internal tooling, frameworks, and best practices.

Who You Are:

Experience : 3 to 4 years of experience in analytics/data engineering, with strong hands-on expertise in DBT, SQL, Python and dashboarding tools.

● Experience working with modern data stacks (e.g., Snowflake, BigQuery, Redshift, Airflow).

● Strong data modeling skills (dimensional, star/snowflake schema, data vault, etc.).

● Excellent communication and stakeholder management skills.

● Ability to work independently and drive business outcomes through data.

● Exposure to product instrumentation and working with event-driven data is a plus.

● Prior experience in a fast-paced, product-led company is preferred.

Key Responsibilities:

• Design, develop, and maintain full-stack applications using Python and React.
• Collaborate with designers, product managers, and other developers to build user-friendly interfaces and seamless APIs.
• Optimize applications for maximum speed and scalability.
• Write clean, maintainable, and well-documented code.
• Debug and resolve technical issues promptly.
• Implement unit and integration tests to ensure high-quality deliverables.
• Stay updated with the latest industry trends, tools, and technologies.
• Participate in code reviews and contribute to team best practices.

Required Skills and Qualifications:

• 3–5 years of hands-on experience with Python and React.
• Strong understanding of JavaScript, ES6+, and TypeScript (preferred).
• Proficient in building RESTful APIs and integrating with frontend frameworks.
• Experience with state management libraries (e.g., Redux, Context API).
• Familiarity with databases such as MongoDB, PostgreSQL, or MySQL.
• Experience with modern build tools and package managers like Webpack, Babel, NPM, or Yarn.
• Hands-on experience with version control tools, particularly Git.
• Knowledge of containerization and CI/CD pipelines is a plus.

• Strong understanding of Core Python, data structures, OOPs, exception handling, and logical problem-solving.
• Experience in at least one Python framework (FastAPI preferred, Flask/Django acceptable).
• Good knowledge of REST API development and API authentication (JWT/OAuth).
• Experience with SQL databases (MySQL/PostgreSQL) & NoSQL databases (MongoDB/Firestore).
• Basic understanding of cloud platforms (GCP or AWS).
• Experience with Git, branching strategies, and code reviews.
• Solid understanding of performance optimization and writing clean, efficient code.
• Develop, test, and maintain high-quality Python applications using FastAPI (or Flask/Django).
• Design and implement RESTful APIs with strong understanding of request/response cycles, data validation, and authentication.
• Work with SQL (MySQL/PostgreSQL) and NoSQL (MongoDB/Firestore) databases, including schema design and query optimization.
• Experience with Google Cloud (BigQuery, Dataflow, Notebooks) will be a strong plus.
• Work with cloud environments (GCP/AWS) for deployments, storage, logging, etc.
• Use version control tools such as Git/BitBucket for collaborative development.
• Support and build data pipelines using Dataflow/Beam and BigQuery if required.
• Experience with GCP services like BigQuery, Dataflow (Apache Beam), Cloud Functions, Notebooks etc
• Good to have Exposure to microservices architecture.
• Familiarity with Redis, Elasticsearch, or message queues (Pub/Sub, RabbitMQ, Kafka).
• 
  

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

• 3 - 5 years of progressive IT experience with a minimum of 1+ years in building Ruby on Rails Web applications and RESTful API endpoints
• Proficient with scripting languages, specifically Python and Bash
• Experience in Object Oriented Java Script.
• Must have Linux command line experience.
• Good experience in developing and integrating reliable REST web services.
• Possess good communication, organizational and creative thinking skills.
• Multi-tasking individual that likes to work both in a team environment and individually
• Excellent technical abilities, leadership, decision making, and adaptability to new technology
• Good knowledge of Agile processes and practice
• Team player

·        Qualification: bachelor’s or master’s degree in computer science, Engineering, or any field.

·        Proven experience of 6+ years in project management, preferably in software development projects involving Python.

·        Strong proficiency in Python programming and familiarity with relevant frameworks.

·        Excellent leadership, communication, and interpersonal skills.

·        Ability to manage multiple projects simultaneously while maintaining quality and timeliness.

·        Expertise in Django/Python/AWS and MySQL.

·        Problem-solving aptitude and a proactive approach to challenges.

·        Experience working in an Agile development environment is highly desirable.

·        Strong organizational and time management skills.

·        Possess a strong understanding of Python programming concepts, frameworks, and best practices.

·        Assist team members with technical challenges, review code, and contribute to technical discussions.

·        Develop comprehensive project plans, including scope, timelines, milestones, resources, and deliverables.

Key Skills:

1. One or more of Python/PHP/Ruby/NodeJS/Java

2. Sound object-oriented skills, including strong design patterns knowledge

2. REST APIs

3. MVC architecture

4. MySQL/PostgreSQL

5. Exp with at least 1 NoSQL databases MongoDB/Memcache/Redis/

6. Exp with search technologies Elasticsearch/Solr

7. Exp building messaging based asynchrounous systems RabbitMQ/Kafka/SQS/Celery will be added advantage

8. Exp with Django/Flask frameworks will be added advantage

9. Knowledge of software best practices like Test-Driven Development (TDD) and Continuous Integration (CI) will be added adnavtage

Requirements:

1. Developing software solutions in conjunction with Relational theory, Rest APIs and NoSQL database technologies

2. Knowledge of cloud based technologies in AWS or Azure will be added advantage

3. Understanding of RDBMS technologies like MySQL, PostgreSQL.

4. Hands-on with Version control systems (GIT, SVN) and Unix/Ubuntu.

5. Experience in requirement analysis, HLD, LLD, unit & integration testing.

6. Good hands on experience in debugging application issues

TL;DR

1) Top performer in the company

2) Has worked with product based startup company

3) Ambitious and hardworking