If you are passionate about building intelligent systems and want to work at the cutting edge of artificial intelligence, this AI Developer Internship at SocialAddress could be the opportunity that transforms your career. The AI Developer Internship is designed for students and graduates who want real-world exposure to multi-agent systems, LLM engineering, and advanced AI architecture.
This detailed guide will help you understand everything about the AI Developer Internship, including responsibilities, skills required, eligibility, location, and why this opportunity stands out in the applied AI domain.
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Overview of the AI Developer Internship
The AI Developer Internship is offered by SocialAddress in Bengaluru. This internship focuses on Applied AI and Software Development, specifically building stateful multi-agent systems using LangGraph.js.
Key Highlights:
- Role: AI Developer Internship
- Location: Bengaluru
- Duration: 3 Months
- Working Days: 5 Days
- Internship Type: Hybrid
- Timing: Full Time
- Application Deadline: 7 March 2026
- Visit site: https://socialaddress.ai
- LinkedIn: explore
- Apply now: click here
This AI Developer Internship is ideal for engineering students, undergraduates, postgraduates, and candidates from Arts, Commerce, Sciences, and other backgrounds who have strong technical expertise in AI systems.
Mission of the AI Developer Internship
The core mission of this AI Developer Internship is to build autonomous, stateful multi-agent systems using LangGraph.js. Unlike traditional internships where you simply write code modules, this AI Developer Internship focuses on designing AI systems that reason, use tools, and maintain long-term memory.
Interns will design complex logic flows that enable AI systems to:
- Make decisions
- Use external tools
- Maintain conversational memory
- Handle conditional workflows
- Operate in production-ready environments
This is not a beginner-level internship. The AI Developer Internship demands real hands-on expertise and prior demonstrable work.
Key Responsibilities in the AI Developer Internship
The AI Developer Internship includes highly advanced responsibilities that simulate real industry projects.
1. Graph Architecture
You will design and deploy production-ready graph architectures with cycles and conditional logic. The AI Developer Internship emphasizes scalable AI workflows that can handle complex state transitions.
2. Agent Tooling
Interns will build and integrate custom tools such as:
- APIs
- Web scrapers
- Database connectors
The AI Developer Internship requires you to ensure that agents can execute tasks autonomously using these tools.
3. State Management
This AI Developer Internship involves implementing advanced persistence mechanisms and human-in-the-loop workflows. This means AI systems should not only remember context but also interact effectively with human supervision when required.
4. Evaluation & Optimization
You will use LangSmith to trace, debug, and optimize agentic performance. The AI Developer Internship focuses on building reliable and testable AI systems rather than experimental prototypes.
Mandatory Skills Required
The AI Developer Internship requires serious technical depth. Below are the mandatory qualifications:
Proven LangGraph.js Experience
You must have built and deployed at least one non-trivial project using LangGraph. This must be demonstrable via GitHub or portfolio.
Advanced Node.js and TypeScript
Deep understanding of:
- Asynchronous patterns
- Streaming
- Type safety
LLM Engineering
Experience with:
- Structured outputs using Zod
- Function calling
- Context window management
RAG Mastery
Strong understanding of:
- Vector databases
- Advanced retrieval strategies
- Embedding pipelines
This AI Developer Internship is specifically designed for candidates who already understand LLM architecture deeply.
Why This AI Developer Internship Is Unique
Unlike generic AI internships that focus on theory or basic chatbot development, this AI Developer Internship emphasizes:
- Real-world agent orchestration
- Production-level graph deployment
- Stateful system design
- Multi-agent collaboration
- Debugging AI systems with structured tracing
The hybrid nature of this AI Developer Internship allows candidates to gain flexibility while still working closely with a high-performance AI team in Bengaluru.
At www.notesgallery.com, we recommend this AI Developer Internship to students who are serious about building careers in AI engineering, AI research, or autonomous systems development.
Who Should Apply?
You should apply for the AI Developer Internship if:
- You have built advanced AI projects before
- You understand how LLMs function internally
- You are comfortable discussing time and space complexity
- You have experience managing vector databases
- You want to work on production-ready AI systems
This AI Developer Internship is not for beginners. It is best suited for students and professionals who already have a strong AI foundation and want to transition into applied AI engineering roles.
Location & Work Mode
The AI Developer Internship is based in Bengaluru and follows a hybrid work model. Interns are expected to work full time for 3 months with 5 working days per week.
The application deadline for this AI Developer Internship is 7 March 2026. Interested candidates should apply before the deadline to avoid missing this opportunity.
Career Growth After This AI Developer Internship
Completing this AI Developer Internship can open doors to:
- AI Engineer roles
- Applied AI Developer positions
- LLM Architect roles
- Research Engineer positions
- Multi-agent Systems Developer careers
The exposure you gain during the AI Developer Internship can significantly strengthen your technical portfolio.
For more verified AI internships and job updates, keep visiting www.notesgallery.com.
Apply now: click here
Frequently Asked Questions (FAQs)
1. Who is eligible for the AI Developer Internship?
Undergraduate, postgraduate, and engineering students with proven LangGraph.js and LLM engineering experience are eligible.
2. Is prior internship experience required?
Yes, candidates must demonstrate at least one non-trivial LangGraph project via GitHub or portfolio.
3. What is the location of the AI Developer Internship?
The internship is based in Bengaluru with a hybrid working model.
4. What is the duration of the AI Developer Internship?
The internship duration is 3 months, full time, with 5 working days per week.
5. What technical skills are mandatory?
Strong knowledge of LangGraph.js, Node.js, TypeScript, LLM engineering, structured outputs, vector databases, and RAG strategies is mandatory.
If you are serious about building next-generation AI systems, this AI Developer Internship at SocialAddress could be your stepping stone. Stay updated with such opportunities at www.notesgallery.com and prepare yourself for the future of applied artificial intelligence.
