Job description:
Company: NeuraMach.AI
Experience: 5+ years
Location: Pune
About NeuraMach.AI
NeuraMach.AI is an AI-native engineering company building production-grade AI platforms, agentic systems, RAG
solutions, machine-learning applications and intelligent digital products.
Role Overview
We are looking for a Senior Tech Lead – AI/ML and Platform Architecture to own the technical direction and
delivery of complex AI-enabled platforms.
This is a hands-on leadership role combining platform architecture, AI/ML engineering, cloud systems, integrations
and team management.
Key Responsibilities
Design scalable, multi-tenant and multi-region application architectures.
Define service boundaries, APIs, data flows and integration standards.
Lead the implementation of AI agents, RAG, tool calling and pre-trained language-model integrations.
Guide the development, training, testing and deployment of machine-learning models.
Design model-serving, versioning, monitoring and rollback workflows.
Lead cloud deployment, containerisation, CI/CD, observability and reliability practices.
Review critical code, database designs, infrastructure changes and technical decisions.
Lead backend, AI/ML, frontend, mobile, DevOps and QA engineers.
Translate business requirements into practical architecture and delivery plans.
Support client-facing technical discussions, demonstrations and production releases.
Required Skills
5+ years of relevant software, platform or AI/ML engineering experience.
Strong hands-on Python and backend-development experience.
Experience designing distributed systems, APIs and event-driven architectures.
Strong PostgreSQL and data-modelling knowledge.
Experience with Docker, cloud platforms and production deployment.
Practical experience with machine learning and model inference.
Experience with RAG, vector databases, LLM APIs and agentic workflows.
Understanding of multi-tenant application security and role-based access.
Proven experience leading engineers, reviewing code and owning releases.
Strong stakeholder-management and communication skills.
Good to Have
PyTorch, scikit-learn, LightGBM, ONNX or time-series modelling experience.
LangChain, LlamaIndex, MCP or structured tool-integration experience.
Kubernetes, infrastructure as code and production observability.
Edge AI, IoT, telemetry or offline-first system experience.
React, React Native or Flutter architecture awareness.
Experience with enterprise workflow, asset-management or industrial software.
How to Apply
Interested candidates are requested to share their updated resume at:
[email protected]
Please mention the following details in your email:
- Total Years of Experience:
- Current CTC:
- Expected CTC (ECTC):
- Notice Period / Last Working Day (LWD):
- Are you currently holding any offer? Yes / No
- If yes, Offer CTC: [Optional]
Candidates may also include links to their GitHub, portfolio, LinkedIn profile, or relevant projects.
Subject Line: Application – [Role Name] – [Your Name]
Work Location: In person
Pay: From ₹1,200,000.00 per year
Work Location: In person