Job description:
Company: NeuraMach.AI
Experience: 3+ years
Location: Pune
Employment Type: Full-time
About NeuraMach.AI
NeuraMach.AI is an AI-native engineering company that builds production-grade AI platforms, intelligent
applications, agentic systems, RAG solutions and workflow automation products.
Role Overview
We are looking for a hands-on Tech Lead – AI Platform Engineering to lead the development of scalable
backend services, integrations and AI-enabled product modules.
The ideal candidate should be a strong backend or full-stack engineer who can 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 pre-trained language models, RAG pipelines, AI agents and ML 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
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 technologies.
AWS, Azure, GCP, Kubernetes or infrastructure-as-code experience.
Exposure to time-series data, IoT, industrial applications or edge computing.
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 ₹600,000.00 per year
Work Location: In person