Tech Lead – AI Platform Engineering
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Key skills for this role
Role Overview
NeuraMach.AI is seeking a hands-on Tech Lead for AI platform engineering.
The role focuses on scalable backend services, integrations, and AI-enabled product modules.
The successful candidate will independently own modules, review code, mentor developers, and coordinate releases.
Key Skills for This Role
Full Job Posting
Role Overview
NeuraMach.AI is seeking a hands-on Tech Lead for AI platform engineering.
The role focuses on scalable backend services, integrations, and AI-enabled product modules.
The successful candidate will independently own modules, review code, mentor developers, and coordinate releases.
Key Responsibilities
- Design and develop backend services using Python, FastAPI, Node.js, or TypeScript.
- Build reliable REST APIs, webhooks, and third-party integrations.
- Implement multi-tenant applications, authentication, and role-based access.
- Integrate pretrained language models, RAG pipelines, AI agents, and machine learning inference services.
- Work with PostgreSQL, vector databases, background jobs, and event-driven systems.
- Review code, guide developers, and maintain engineering quality.
- Coordinate with frontend, mobile, AI/ML, DevOps, and QA teams.
- Support testing, CI/CD, releases, documentation, and production troubleshooting.
Required Skills
- At least 3 years of professional software development experience.
- Strong experience with Python and FastAPI, or Node.js and TypeScript.
- Experience building production APIs and backend systems.
- Good knowledge of PostgreSQL and data modelling.
- Experience with Docker, Git, and CI/CD.
- Understanding of authentication, RBAC, and multi-tenant application design.
- Exposure to LLM integrations, RAG, vector databases, or AI-agent workflows.
- Ability to review code and lead a small engineering team.
- Strong problem-solving and communication skills.
Good to Have
- React, React Native, or Flutter exposure.
- LangChain, LlamaIndex, MCP, or structured tool-calling experience.
- Redis, Kafka, RabbitMQ, or similar technology experience.
- AWS, Azure, GCP, Kubernetes, or infrastructure-as-code experience.
- Exposure to time-series data, IoT, industrial applications, or edge computing.
Compensation
- Pay starts at ₹600,000 per year.
Work Location
- The role is based in Pune and requires in-person work.
Employment
- The position is full-time.
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