Job Overview
| Particulars | Details |
|---|---|
| Position | AI Engineer – Agentic AI & MCP Systems |
| Company | |
| Location | Bangalore |
| Job Type | Full-Time |
| Experience | Fresher |
| Category / Department | IT |
| Application Mode |
🏢 About
Spire.AI is building the Universal Context Engine for the Agentic Enterprise.
The company enables organizations to create a shared understanding across APIs, AI agents, workers, and assemblies through a universal context layer that powers coordinated intelligence, autonomous execution, and measurable business outcomes.
Agentic Enterprise Powered by OpenKnowra
OpenKnowra establishes the Enterprise Semantic Layer and context foundation of the Agentic Enterprise. Through a living enterprise context graph, it connects knowledge, data, processes, and business intent into a shared intelligence layer that enables agents to reason, collaborate, and execute with enterprise-wide awareness, governance, and precision.
Why OpenKnowra Matters
As AI adoption accelerates, enterprises often face fragmented intelligence caused by isolated AI systems and disconnected workflows.
OpenKnowra addresses these challenges by:
🔹 Connecting knowledge, processes, and business context.
🔹 Eliminating duplicated enterprise intelligence efforts.
🔹 Creating a unified view of AI operations and outcomes.
🔹 Enabling enterprise-wide awareness and governance.
🔹 Delivering coordinated intelligence across agents and applications.
Powering Browserless Operations Across Every Enterprise Channel
The same semantic and context intelligence layer powers decisions, workflows, and actions across collaboration platforms, applications, APIs, and digital channels.
Microsoft Teams Integration
Employees can:
✅ Access enterprise knowledge.
✅ Trigger workflows and AI agents.
✅ Coordinate digital workers.
✅ Complete approvals and actions directly within Teams.
✅ Query enterprise context graphs using natural language.
All interactions remain contextual, governed, secure, and traceable.
Enterprise Digital Twin
OpenKnowra's Enterprise Digital Twin provides visibility and governance across every AI agent operating within the enterprise.
It creates a unified context graph that:
🔹 Makes AI agents coherent and coordinated.
🔹 Provides visibility into agent activities.
🔹 Delivers operational insights and governance.
🔹 Creates a managed and accountable digital workforce.
🔹 Establishes a shared intelligence layer across the organization.
OpenKnowra by Spire.AI
The complete context stack for the AI era.
Built on the same graph substrate battle-tested in enterprise production, OpenKnowra powers:
✅ APIs
✅ AI Agents
✅ Workers
✅ Assemblies
✅ Enterprise Context Graphs
Why Join Spire.AI?
🚀 Work on cutting-edge Agentic AI systems.
🚀 Build enterprise-scale AI products used in production.
🚀 Gain hands-on experience with advanced AI frameworks.
🚀 Work on MCP, RAG, LLM, and Semantic AI technologies.
🚀 Learn from experienced AI and platform engineers.
🚀 Be part of the future of the Agentic Enterprise.
📝 Job Description
🚀 Spire.AI is Hiring | AI Engineer – Agentic AI & MCP Systems (Freshers)
📍 Location: Bangalore
💼 Experience: Freshers
🏢 Employment Type: Full-Time
Position:
🔹 AI Engineer – Agentic AI & MCP Systems
Requirements:
✔️ Hands-on experience with Agentic AI concepts.
✔️ Knowledge of MCP Servers and contextual AI systems.
✔️ Experience with RAG pipelines and LLM applications.
✔️ Strong Python programming skills.
✔️ Experience with LangChain, LangGraph, and FastAPI.
✔️ Understanding of Vector Databases and Semantic Search.
✔️ Strong analytical and problem-solving abilities.
✔️ Passion for building real-world AI products.
📧 Apply Now
📩 Email: anudeep.arigela@spire.ai
📢 Tag AI Engineers, GenAI Engineers, Python Developers, LLM Engineers, LangChain Developers, and Freshers interested in Agentic AI opportunities.
🎯 Key Responsibilities
- ✓ Build and deploy production-ready AI systems and applications.
- ✓ Design and develop Agentic AI solutions for enterprise use cases.
- ✓ Develop and optimize RAG pipelines for intelligent information retrieval.
- ✓ Build and integrate LLM-powered applications and AI workflows.
- ✓ Develop MCP Server integrations and contextual AI systems.
- ✓ Work with LangChain, LangGraph, and modern AI orchestration frameworks.
- ✓ Implement vector database solutions for semantic search and knowledge retrieval.
- ✓ Develop APIs and backend services using FastAPI and Python.
- ✓ Collaborate with product, engineering, and AI teams to deliver scalable solutions.
- ✓ Optimize AI applications for performance, scalability, and reliability.
- ✓ Research emerging AI technologies and contribute innovative ideas.
- ✓ Participate in architecture discussions and technical solution design.
💡 Required Qualifications & Skills
🚀 Career Guidance & Interview Insights
To help you succeed, we've compiled original preparation guides, resume keywords, and growth analytics for this category of role.
Joining as a AI Engineer – Agentic AI & MCP Systems offers a fantastic opportunity to work at the forefront of technological innovation. You will be exposed to modern software development lifecycles, collaborate with cross-functional product teams, and design scalable architectures that directly impact end-users. The continuous learning curve in tech ensures that your programming, debugging, and system engineering skills remain highly marketable and sharp.
The career roadmap in technology is highly rewarding. Typical progression starts as a Junior Software Engineer, moving to Associate Developer and then Senior Software Engineer (3-6 years). From there, professionals choose between an individual contributor track—becoming a Tech Lead, Staff Engineer, and Principal Architect—or a management track, advancing to Engineering Manager, Director of Engineering, and Chief Technology Officer (CTO).
Expected Technical & Behavioral Questions:
- Q1: How do you optimize database query performance?
Answer Tip: Talk about indexing strategies, query execution plan analysis, avoiding N+1 queries, and implementing caching layers (like Redis). - Q2: Explain the differences between Microservices and Monolithic architecture.
Answer Tip: Highlight scaling advantages, loose coupling, independent deployments, network latency considerations, and data consistency challenges in microservices. - Q3: How do you handle merge conflicts in Git?
Answer Tip: Explain checking out the local branch, pulling the latest main branch, running git merge, opening the conflicted files to resolve blocks manually, and committing the resolved merge.
To pass automated ATS (Applicant Tracking System) screening and catch the recruiter's eye, tailor your resume with the following tips:
- Keywords to include: Software Engineering, SDLC, OOP, CI/CD Pipelines, SQL databases, Agile, Unit Testing, Code Review, Cloud Architectures (AWS/Azure).
- Format: Use a clean, single-column resume format. Avoid graphics, text boxes, or tables which can scramble ATS parser outputs.
- Quantify Results: Instead of writing 'wrote code', write 'Developed a caching system that reduced server response times by 35%.'
Estimated compensation for this role type in India is ₹3,50,000 - ₹6,00,000 per annum (Freshers/Entry level). The actual salary package offered depends on factors such as company size, work mode (remote or on-site), individual technical proficiency, and negotiations during final HR rounds.
Highly recommended certifications include: AWS Certified Solutions Architect, Microsoft Certified: Azure Fundamentals, Certified Kubernetes Administrator (CKA), Oracle Certified Professional Java SE, or tech-stack specific achievements (e.g. Meta Front-End Developer certification).
Share This Job
🛡️ Safety Disclaimer: JobPortalConnect curates official listings for informational purposes. Genuine recruiters will never ask you for processing fees, training payments, or security deposits. If you spot suspicious activity, copyright issues, or wish to request the removal of this listing, please report it to us immediately at contact.jobportalconnect@gmail.com.