About Skynetic Ventures

Role Summary

This is a high-ownership role where speed, problem-solving, and execution matter more than simply knowing the latest frameworks.

Roles & Responsibilities

AI Engineering

- Design and develop agentic workflows and AI agents
- Implement structured outputs, tool calling, guardrails, and evaluation pipelines
- Continuously optimize AI quality, latency, reliability, and cost

Product Development

- Rapidly prototype new products and proofs of concept
- Contribute to technical architecture and engineering decisions
- Build reusable components and internal engineering accelerators

Enterprise Integrations

- Work with CRM, ERP, document management systems, and other third-party platforms
- Design reliable, event-driven workflows across multiple enterprise systems
- Troubleshoot integration issues and build reusable connectors
- Engineering _
- Develop backend services using Python
- Work with SQL, MongoDB, Redis, and vector databases
- Build secure, scalable, and production-ready systems
- Automation _
- Collaboration _
- Work closely with Product, Program Managers, Designers, and Clients
- Review code, document technical solutions, and contribute to engineering best practices
- Stay updated with the latest advancements in AI and recommend practical adoption where relevant

Must Have Skills

- AI Engineering _
- Large Language Models (LLMs)
- Agentic AI and AI Agents
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- Memory and Orchestration
- AI Evaluation and Guardrails
- Structured Outputs and Tool Calling
- Software Engineering _




- Python
- React and TypeScript
- REST APIs
- SQL and MongoDB
- Git
- Enterprise Systems _
- Solid experience working with APIs, Webhooks, OAuth, and third-party integrations
- Experience integrating AI solutions with enterprise systems such as CRM, ERP, Microsoft, Google Workspace, or similar platforms
- Cloud & DevOps _
- Azure or AWS
- Docker
- CI/CD fundamentals
- Automation _
- API-based workflow automation

What We Look For

- 4+ years of software engineering experience
- Proven ability to build products from prototype to production
- Strong problem-solving and debugging skills
- Ability to independently own features and deliver with mínimal supervision
- Product mindset with strong engineering fundamentals
- Startup mindset with high ownership and accountability
- Excellent communication and collaboration skills
- Curiosity to continuously learn and experiment with emerging AI technologies

Selection Process

Pay: ₹1,000,000.00 - ₹1,500,000.00 per year

Benefits :

- Flexible schedule

Application Question(s): GitHub or live demo (if available) Architecture diagram (hand-drawn is acceptable) Tech stack used Biggest technical challenge and how you solved it

1. Describe an enterprise integration you have built involving two or more systems (CRM, ERP, SaaS platform, internal APIs, etc.). What were the challenges around authentication, APIs, data flow, and reliability?
2. CTC expectation
3. Notice period

Work Location: Hybrid remote in Bengaluru, Karnataka (Bengaluru, Bengaluru Urban District)

📌 Founding Ai Engineer (Bengaluru)
🏢 Skynetic Ventures
📍 Bengaluru