About Skynetic Ventures
Skynetic Ventures is an AI product and services company building enterprise AI solutions across healthcare, media, consumer goods, market research, and other industries. We build AI agents, workflow automations, enterprise copilots, and custom AI applications that integrate seamlessly into business workflows.
Role Summary
We are looking for a hands-on AI Engineer who enjoys building products from zero to one and scaling them into production. You will work closely with product, program management, and clients to design, develop, and deploy AI-powered applications for enterprise customers.
This is a high-ownership role where speed, problem-solving, and execution matter more than simply knowing the latest frameworks.
Roles & Responsibilities
AI Engineering
- Build AI-powered applications using Large Language Models (LLMs)
- Design and develop agentic workflows and AI agents
- Build Retrieval-Augmented Generation (RAG) applications with memory and orchestration
- 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
- Convert prototypes into scalable, production-ready applications
- Contribute to technical architecture and engineering decisions
- Build reusable components and internal engineering accelerators
Enterprise Integrations
- Integrate AI applications with enterprise systems using REST APIs, webhooks, SDKs, and authentication protocols
- 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
- Build modern web applications using React and TypeScript
- Work with SQL, MongoDB, Redis, and vector databases
- Deploy and maintain applications on Azure and AWS
- Build secure, scalable, and production-ready systems
Automation
- Integrate AI models with business workflows and enterprise applications
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
- Strong 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 minimal 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
Shortlisted candidates will complete a practical engineering exercise focused on solving a real-world AI problem involving enterprise integrations. We value demonstrated problem-solving, engineering quality, and product thinking over certifications or familiarity with specific frameworks.
Pay: ₹1,000,000.00 - ₹1,500,000.00 per year
Benefits:
Application Question(s):
- 1. Share one AI application you have built that you are most proud of. Include:
GitHub or live demo (if available)
Architecture diagram (hand-drawn is acceptable)
Tech stack used
Biggest technical challenge and how you solved it
2. 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?
3. Imagine you join Skynetic on Monday. A client needs an AI assistant that can read documents, answer questions with citations, integrate with an existing business application, and be production-ready in three weeks. Describe how you would approach the solution, the trade-offs you would make, and the technologies you would choose.
4. CTC expectation
5. Notice period
Work Location: Hybrid remote in Bengaluru, Karnataka (Bengaluru, Bengaluru Urban District)
