AI/ML Developer

1 day ago

Surat, Gujarat, India Inventam Full time ₹ 3,00,000 - ₹ 4,50,000 per year

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, ₹450,000.00 per year

Benefits:

  • Paid time off

Work Location: In person

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