Backend Developer

Strong Senior Backend Engineer profiles

Mandatory (Experience 1) – Must have 5+ years of hands-on Backend Engineering experience building scalable, production-grade systems

Mandatory (Experience 2) – Must have strong backend development experience using one or more frameworks (FastAPI / Django (Python), Spring (Java), Express (Node.js).

Mandatory (Experience 3) – Must have deep understanding of relevant libraries, tools, and best practices within the chosen backend framework

Mandatory (Experience 4) – Must have strong experience with databases, including SQL and NoSQL, along with efficient data modeling and performance optimization

Mandatory (Experience 5) – Must have experience designing, building, and maintaining APIs, services, and backend systems, including system design and clean code practices

Mandatory (Domain) – Experience with financial systems, billing platforms, or fintech applications is highly preferred (fintech background is a strong plus)

Mandatory (Company) – Must have worked in product companies / startups, preferably Series A to Series D

Mandatory (Education) – Candidates from top engineering institutes (IITs, BITS, or equivalent Tier-1 colleges) are preferred

Shortened version:

• 5+ years experience in Python with strong core concepts (OOP, data structures, exception handling, problem-solving)
• Experience with FastAPI (preferred) or Flask/Django
• Strong REST API development & authentication (JWT/OAuth)
• SQL (MySQL/PostgreSQL) & NoSQL (MongoDB/Firestore) experience
• Basic cloud knowledge (GCP or AWS)
• Git, code reviews, clean coding & performance optimization
• Good communication and teamwork skills

Responsibilities:

• Build and maintain scalable backend apps and REST APIs
• Work with databases, third-party integrations, and cloud deployments
• Write clean, testable, optimized code
• Debug, troubleshoot, and improve performance
• Collaborate with team on technical solutions

Good to have:

• GCP (BigQuery, Dataflow, Cloud Functions)
• Microservices, Redis/Kafka/RabbitMQ
• Docker, CI/CD
• Basic Pandas/Numpy for data handling

Perks & Benefits

• 5 Days Working
• Family Health Insurance
• Relaxation Area
• Affordable Lunch
• Free Snacks & Drinks
• Open Work Culture
• Competitive Salary & Benefits
• Festival Celebrations
• International Exposure Opportunities
• 20 Paid Leaves per Year
• Marriage Leave & Parental Leave Policy

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

Roles:

• Developing core infrastructure in Python, Django.
• Developing models and business logic (e. g. transactions, payments, diet plan, search, etc).
• Architecting servers and services that enable new product features.
• Building out newly enabled product features

• Minimum 4 years of industry or open-source experience.
• Proficient in at least one OO language: Python(preferred)/Golang/Java.
• Writing high-performance, reliable and maintainable code.
• Good knowledge of database structures, theories, principles, and practices.
• Experience working with AWS components [EC2, S3, RDS, SQS, ECS, Lambda].

Joining: Immediate Joining

No of Vacancy: 1

Designation: PHP Laravel Full-stack Developer

Location- Pune, Maharashtra.

• 1-2 years of experience in related field preferred
• Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
• May contribute to the development of policies and procedures
• Works on complex projects of large scope
• Completes work independently receives general guidance on new projects
• Work reviewed for purpose of meeting objectives
• May act as a mentor to less experienced colleagues

Key Skills

• Extensive experience working in PHP.
• Experience with Laravel framework
• Should have a working knowledge of MySQL.
• Experience with Javascript, typescript.
• Must have knowledge of Java frameworks like ViewJS, AngularJS.
• Knowledge of JADE, Pug template.
• Strong debugging skills.
• Strong problem-solving skills.
• Ability to understand and make changes to existing code.

DeepSource is working on building tools that help developers ship good code. There are over 40 million developers in the world, and all of them write and review code in some form. The Language Engineering team works on the source code analyzers, including both programming languages and configuration-as-code systems. As a member of the Language Engineering team, you will work on building the best, most comprehensive, Ruby analyzer in the world. You will add new rules and Autofixes for finding more issues with code and automatically fixing them. You will be involved with the community to understand the problems with static analysis tools in the Ruby ecosystem.

• Identify bad code practices in Ruby and write new analyzers to detect them.

• Improve the coverage of automatically fixable issues.

• Ensure fewer false-positives are reported by the analyzer.

• Work on the internal tools that support analysis runtimes.

• Contribute to open-source static analysis tools.

• Strong foundational knowledge in Computer Science.

• At least 3 years of professional software development experience in Ruby.

• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).

• Familiarity with Ruby best practices followed in the industry.

• Native experience with Linux/Unix environment.

• A focus on delivering high-quality code through strong testing practices.

We offer competitive compensation with meaningful stock options, a generous vacation policy, and a workstation of your choice, to name a few of the perks.

• 3-5 Years of experience in Backend Development.
• Must have experience in Python (FLASK framework).
• Have a Deep understanding of how RESTful APIs work.
• Familiar with various design and architectural patterns that can work at scale.
• Sound knowledge of NoSQL/SQL Databases (Mongo DB preferred).
• Strong experience with at-Cloud technology, preferably AWS or GCP, or Azure.
• Core experience in developing complex backend systems.
• Communicating complex technical concepts to both technical and non-technical audiences.
• Passionate about application scalability, availability, reliability, and security.