Senior AI Engineer

About the job

Do you think of yourself as a modern-day artist? Read on. About the role: We’re hiring a hands-on Senior AI Engineer to build and ship practical AI features (LLM-based apps, RAG pipelines, search/embeddings, and real-time integrations). This role blends backend engineering, ML systems, and production deployment — ideal for someone who turns research ideas into reliable products. Responsibilities: Design and implement LLM-driven features and Retrieval-Augmented Generation (RAG) pipelines. Ingest and preprocess documents (PDFs, HTML, etc.), build embeddings, and implement vector search. Integrate models (cloud or local) for generation and embeddings; ensure responses are grounded with source citations. Build APIs and microservices (Node.js/Python) for inference, streaming, and real-time use cases. Implement guardrails: prevent hallucinations, handle out-of-scope queries, and protect against prompt injection. Deploy, monitor, and optimize AI services on cloud infra (AWS preferred): cost, latency, and autoscaling. Collaborate with frontend engineers to integrate chat/voice interfaces (WebSockets / WebRTC). Write clean, testable code and maintain documentation and runbooks. Required skills: 3+ years professional experience in AI/ML engineering or backend engineering with AI products. Practical experience with LLMs, embeddings, and RAG-style retrieval systems. Experience with at least one vector DB or library (e.g., MongoDB Vector Search, Chroma, FAISS, Pinecone). Strong backend skills in Node.js or Python (APIs, queues, workers). Familiarity with deploying services on AWS (EC2/Lambda/S3); basic infra & monitoring knowledge. Knowledge of WebSockets/SSE and basic WebRTC concepts for real-time/voice use cases. Good software engineering practices: testing, logging, versioning, and documentation. Clear communicator who can explain technical tradeoffs to engineers and non-engineers. Nice-to-have: Experience with streaming LLM outputs (token-by-token), hybrid search (BM25 + embeddings), or agent/tool-calling architectures. Background with ASR/TTS (Whisper or similar), model fine-tuning, or local LLM deployments. Familiarity with security/privacy concerns for embeddings and user data. Benefits@Bombay DC: • Stay close to your family: You get to work 2 weeks each calendar year from the comfort of your hometown (in case you have relocated to work with us at Mumbai!) • Breathe easy with lesser travel: If you are a local resident of Mumbai and require to travel over 60 minutes (one way) to make it to the office- breathe easy! We've got you covered, once you are confirmed you can work from home every Tuesday and Thursday! (let me tell you, the energy on the floor is infectious, hard to stay back home!) • We protect your Grey Matter: We have your mental health protected, our HR team is ever present to support, listen and counsel, should you ever need help! • Winter Break- We offer a long winter break that provides an excellent opportunity to spend quality time with your near and dear ones. This extended time off allows you to relax, recharge, and truly enjoy the holiday season without any rush. • We offer extended long weekends- In addition to the winter break, we also offer extended holidays designed to give you more time to unwind. Our holidays are carefully planned to include long weekends, allowing you to make the most of your time off and enjoy a balanced work-life routine. • We provide caregiver leaves- We provide opportunity to take a day off at short notice or work from home on days when you are required to stay back to offer care for your parents/siblings owing to a medical emergency • We invest in you- By subsidizing your learning initiatives, provide you some remarkable mentors to shape your professional growth and exclusive time to engage with the Founder to learn and share ideas! • We appreciate your performance- Through our Project Excellence Awards and Milestone completions when you embark upon the journey with us! Want to join the force? Apply here, or shoot an email to work@bombaydc.com

Requirements

• AI/ML engineering
• backend engineering
• LLMs
• embeddings
• RAG-style retrieval systems
• Node.js
• Python
• AWS

Preferred Technologies

• AI/ML engineering
• backend engineering
• LLMs
• embeddings
• RAG-style retrieval systems
• Node.js
• Python
• AWS

Benefits

• work from hometown 2 weeks per year
• work from home on Tuesdays and Thursdays
• mental health support
• winter break
• extended long weekends
• caregiver leaves
• learning initiatives support
• performance recognition awards