Backend Developer SDE 2

Required Experience: 10–15 years (with at least 3–5 years in leadership roles)

● 10–15 years of overall experience in backend engineering, with strong exposure to

Python and/or Golang.

● 3–5 years of experience managing engineering teams.

● Proven experience delivering large-scale, distributed systems in production

environments.

● Strong understanding of microservices, cloud-native architecture, and DevOps

practices.

● Hands-on background in backend engineering (able to guide teams technically, even

if not coding daily).

● Familiarity with CI/CD pipelines, observability, and performance optimization.

● Experience in financial services or high-transaction domains is a plus.

● Experience leading teams that have utilized AI-driven development practices (e.g.,

agentic coding, LLM integration) to improve productivity and innovation is a

significant advantage.

Skills

● Excellent leadership and people management abilities.

● Strong communication and stakeholder management skills.

● Ability to balance technical depth with business priorities.

● Problem-solving mindset with a focus on delivery and impact.

● Passion for building engineering culture and improving developer experience.

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

Experience in Python (Only Backend), Data structures, Oops, Algorithms, Django, NumPy etc.

• Good understanding of writing Unit Tests using PYTest.

• Good understanding of parsing XML’s and handling files using Python.

• Good understanding with Databases/SQL, procedures and query tuning.

• Service Design Concepts, OO and Functional Development concepts.

• Agile Development Methodologies.

• Strong oral and written communication skills.

• Excellent interpersonal skills and professional approach Skills desired.

• Strong experience in Java programming.
• Must have experience on MicroServices using Spring boots /Jersy /Swagger / any other Microservices technology stack
• Good experience in either Spring or Hibernate
• Must have at least 1to 2 years’ experience in Web application
• Knowledge of OOP concepts, industry best practices, and design
• Good understanding of web technology/enterprise-level applications
• Good to have experience in JavaScript frameworks
• Good to have experience in Agile Methodology

• Self-motivated and a Quick Learner
• Creative ideas with a problem-solving mindset.
• Ability to consistently perform and meet deadlines
• Attention to detail and follow-through
• A good understanding of customer satisfaction
• Ability to work effectively in a team as well as in an individual environment
• Excellent written and verbal communication skills

Role / Purpose - Lead Developer - API and Microservices

Must have a strong hands-on development track record building integration utilizing a variety of integration products, tools, protocols, technologies, and patterns.

• Must have an in-depth understanding of SOA/EAI/ESB concepts, SOA Governance, Event-Driven Architecture, message-based architectures, file sharing, and exchange platforms, data virtualization and caching strategies, J2EE design patterns, frameworks
• Should possess experience with at least one of middleware technologies (Application Servers, BPMS, BRMS, ESB & Message Brokers), Programming languages (e.g. Java/J2EE, JavaScript, COBOL, C), Operating Systems (e.g. Windows, Linux, MVS), and Databases (DB2, MySQL, No SQL Databases like MongoDB, Cassandra, Hadoop, etc.)
• Must have experience implementing API Service architectures (SOAP, REST) using any of the market-leading API Management tools such as Apigee and frameworks such as Spring Boot for Microservices
• Should have Advanced skills in implementing API Service architectures (SOAP, REST) using any of the market-leading API Management tools such as Apigee or similar frameworks such as Spring Boot for Microservices 
• Appetite to manage large-scale projects and multiple tracks
•  Experience and knowhow of the e-commerce domain and retail experience are preferred
•  Good communication & people managerial skills