Software Development Engineer - II | Backend (AI POD)
SpotDraft
SpotDraft HQ, Bengaluru, IndiaPosted 1 month ago
Skill Required
Product, Engineering, DesignBackend DeveloperAI EngineerSoftware EngineerSoftware DeveloperAISystem DesignGenerative AIEngineeringdesigningbuildingRAGfintechetc.)PythondesignNLPGoMachine LearningFulltime
Key highlights
- Required experience: 4–7 years in backend/software engineering (minimum 4–5 years)
- Must have experience with data or text extraction pipelines, described as core to the pod's work
- Must have hands-on system design experience (HLD & LLD) and AI/ML exposure (RAG pipeline implementation or LLM integration in production)
- Work on AI-powered contracting features including RAG pipelines, LLM integrations, and agentic workflows
- Opportunity to work with some of the sharpest minds in legal tech and interact with top founders, investors, and industry leaders
- Equal-opportunity employer with confidential handling of candidate personal data per data protection regulations
Role overview
SpotDraft is hiring a Backend Engineer to join the AAI Pod, the team building AI-powered product capabilities including data/text extraction, contract intelligence, and LLM-driven features layered on the core contracting platform. The role sits at the intersection of strong backend fundamentals and applied AI, involving designing the systems (extraction pipelines, RAG architectures, orchestration layers) that make AI features reliable and scalable in production. The engineer will work closely with Product, Design, and AI teams to ship high-impact capabilities customers directly experience.
Responsibilities
- Design and build scalable backend systems for AI-powered features, with a strong focus on reliability and performance
- Own end-to-end system design (HLDs & LLDs) for extraction pipelines and AI feature integration
- Make thoughtful trade-offs balancing speed, scalability, and maintainability in systems that call LLMs or process high volumes of documents/text
- Build and operate data/text extraction pipelines that power downstream AI features
- Design and implement RAG pipelines, LLM integrations, or agentic workflows as part of product features
- Own the reliability and cost-efficiency of AI-integrated systems — caching, fallback handling, and failure recovery for LLM-dependent services
- Work closely with Product, Design, and AI teams to ship impactful features
- Translate ambiguous product requirements into clear technical solutions
- Participate in cross-functional discussions and influence product direction
- Own features and systems end-to-end — from ideation to production and beyond
- Build systems from scratch and evolve them as they scale
- Take accountability for reliability, performance, and uptime of owned systems
- Contribute to hiring by participating in interviews and candidate evaluation
- Mentor junior engineers and raise the overall engineering bar
- Bring a strong "builder's mindset" with a bias for action and problem-solving
Requirements
- 4–7 years of experience in backend/software engineering (minimum 4–5 years)
- Strong backend engineering fundamentals — proven experience architecting and building scalable products/features end-to-end (not just feature-level execution)
- Hands-on experience with system design (HLD & LLD)
- AI/ML exposure — either has built/implemented a RAG pipeline, or has integrated/used LLMs in a production application
- Experience with data or text extraction pipelines — this is core to the pod's work, not a peripheral skill
- Distributed systems experience — queues, async processing, caching
- Familiarity with vector databases / embeddings (Pinecone, Weaviate, pgvector, etc.)
- Experience working in cross-functional teams (Product, Design, AI)
- Track record of ownership — building, scaling, and maintaining systems independently
Nice to have
- Python or Go
- Apache Beam or similar large-scale data processing frameworks
- Prior experience in document-heavy or NLP-adjacent products (legal tech, fintech, OCR, search)
- Prior experience in startup environments or fast-paced teams
Benefits
- Work with some of the sharpest minds in legal tech
- Interact with top founders, investors, and industry leaders (expand your network)
- Take ownership of projects and see your work in action (real impact)
- Trust to deliver, innovate, and push boundaries
Additional details
- SpotDraft is on a mission to help legal and business teams move faster, together
- AI-powered contracting platform redefining how companies manage contracts
- SpotDraft is revolutionizing legal operations with AI-powered tools that help legal teams work faster and smarter
- SpotDraft's flagship products leverage cutting-edge LLM technology to automate routine legal work and accelerate contract review
- Sidebar is an AI-powered team of legal assistants that handles routine legal work—from contract analysis and legal research to compliance tracking and drafting
- Sidebar tackles everything beyond contracts, including policy questions, regulatory compliance, and strategic advice
- Sidebar learns from an organization's knowledge to become a specialized legal co-pilot
- VerifAI is an AI contract review tool that works as a Microsoft Word add-in, helping legal teams review contracts up to 70% faster
- VerifAI uses generative AI to check contracts against personal or organizational guidelines and answer open-ended questions
- VerifAI automatically flags deviations and suggests improvements
- The AAI Pod builds SpotDraft's AI-powered product capabilities, including data/text extraction, contract intelligence, and LLM-driven features layered on the core contracting platform
- Core Values: Our business is to delight Customers
- Core Values: Be Transparent. Be Direct
- Core Values: Be Audacious
- Core Values: Outcomes over everything else
- Core Values: Elevate each other
- Core Values: Be Passionate. Take Ownership
- Core Values: Be 1% better every day
- All candidates' personal data shared during the recruitment process will be handled with utmost confidentiality and used solely for hiring purposes, in line with applicable data protection regulations
- SpotDraft is an equal-opportunity employer
- Candidates will not be discriminated against based on race, ethnicity, color, religion, caste, sex, gender identity, sexual orientation, national origin, veteran, or disability status