Job Description

We are building next-generation AI-powered SaaS infrastructure and internal AI systems across ERP/CRM/SaaS products.

You will join as a

core AI/ML Engineer

, working directly with a

high-strength founding tech team

(Senior full-stack founders, DevOps, ML infra).

This role is for someone who loves to

build, iterate fast, experiment, and ship AI-first products.

AI/ML Engineering

Build, fine-tune, and optimise LLM-based systems (OpenAI, LLaMA, Mistral, custom fine-tuning). Develop and maintain

RAG pipelines

, embeddings, vector search (Pinecone, Chroma, Qdrant, Supabase vectors). Implement

agentic workflows, multi-step AI task chains

, and self-updating knowledge systems. Train/evaluate ML models for classification, NLP, information extraction, analytics, and recommendation systems. Optimise model latency, prompt engineering, token efficiency.

Data Engineering

Build clean, scalable data pipelines (Python, FastAPI, ETL, Pydantic models). Work on structured/unstructured data: documents, PDFs, text, logs. Implement evaluation frameworks, dataset preparation, model monitoring.

Backend + Integration

Integrate AI systems with NestJS/Node, FastAPI microservices. Design APIs for inference, RAG, model registry, embeddings, and analytics. Work with multi-tenant, RBAC-based systems and database models (Postgres + Mongo).

MLOps / Infrastructure

Deploy AI pipelines on AWS (EC2, S3, Lambda, EKS/ECS, Bedrock optional). Manage model hosting, monitoring, versioning, CI/CD. Work with containerisation (Docker), GPU utilisation, optimisation.

Soft Skills

Ownership mindset, strong problem-solving. Ability to work under fast iterations and strong technical leadership. Hunger to learn, experiment, debug, and ship quickly. Excellent communication & documentation skills (Notion + Git style).

Preferred Experience (Nice-to-Have)

Built or contributed to agentic systems (LangChain, LlamaIndex, custom frameworks). Experience with SaaS infra and multi-tenant architectures. Exposure to analytics systems, monitoring dashboards, log intelligence. Knowledge of prompt-level optimisation and custom LLM metric evaluation. Understanding of GDPR/PII-safe data techniques.
Job Type: Full-time

Pay: ₹300,000.00 - ₹450,000.00 per year

Benefits:

Paid time off
Work Location: In person