Mitul ❁
597 posts

Mitul ❁
@Mitul_tweets
Full-stack Developer | CS' 24 | Building and Breaking at Neomenta
Katılım Mart 2022
245 Takip Edilen39 Takipçiler

AI Engineering is one of the most IN-DEMAND roles with TOP salaries.
Here's a step-by-step roadmap to become an AI Engineer in 2026:
Step 1: The Logic Layer (Prompt & Context Engineering)
Forget "magical" prompts. An LLM is just a next-word predictor; you need to treat it like a compiler.
Concepts to Master: Tokenization limits, context windows, structured JSON outputs, system boundaries, and temperature vs. top-p routing.
The Real Skill: Forcing an LLM to reliably return a strict, predictable data schema instead of a conversational paragraph.
The Project: A zero-dependency script that ingests raw, messy unstructured user input and spits out validated, strictly-typed JSON that a traditional database can read.
Step 2: The Meaning Layer (Embeddings & Vectors)
AI doesn't "read" your company's data; it calculates distance. To feed an AI private data, you need to turn words into coordinates in a high-dimensional space.
Concepts to Master: Embedding models, cosine similarity, dense retrieval, and chunking strategies (how you slice documents so the AI doesn't lose context).
The Tools: Vector Databases like Pinecone, Qdrant, or simply utilizing pgvector inside PostgreSQL.
The Project: Build a hyper-specific RAG (Retrieval-Augmented Generation) pipeline. Upload 50 dense legal or financial PDFs, chunk them, embed them, and build a search query that retrieves only the exact paragraph needed to answer a complex question.
Step 3: The Action Layer (Tools & Pipelines)
A chatbot that just talks is useless. An AI engineer builds systems that do things.
Concepts to Master: Function Calling (Tool Use). This is how you give the AI "hands" to trigger external code and APIs.
The Real Skill: Writing secure backend routes that the LLM can autonomously decide to execute based on the user's intent, without hallucinating the parameters.
The Project: An AI assistant that doesn't just read your database, but executes POST requests to update records, trigger emails, or reschedule events on a live calendar.
Step 4: The Brain Layer (Agents & Orchestrators)
This is where you graduate from script-kiddie to Engineer. You stop writing linear code and start building graphs of autonomous workers.
Concepts to Master: Multi-agent workflows, state management, cyclical graphs, and memory (short-term session state vs. long-term persistence).
The Tools: LangGraph, CrewAI, Vellum AI.
The Project: A Multi-Agent Research Swarm. Agent 1 scrapes the web. Agent 2 filters the noise and cross-checks facts. Agent 3 formats the final report and sends it to a webhook.
Step 5: The "Partnered Execution" Project (The Real-World Test)
Don't build a generic "AI CRM" or a Twitter clone. Build something painfully tied to the physical world where logic, constraints, and edge cases actually matter.
The Ultimate Project: Build an automated sports venue booking system. Use an agentic orchestrator to parse incoming requests from local schools. The agent must query your database to prevent concurrent ground reservations, handle timezone math, manage role-based admin access, and trigger the payment gateway -all autonomously, with a human-in-the-loop fallback mechanism for critical errors.
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#hiring
Orchids/Bud (YC W25 | AI App Builder) is hiring a Full Stack Engineer Intern!
Experience: 0 - 1 years
Location: Remote US
Salary : $6K–$12K/month + equity!
Lets us know if you are interested 👇
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Final-year CSE student → Backend + AI Engineer
Built: • RAG system (LangChain + LangGraph + ChromaDB)
• Scalable backend with Spring Boot + Redis
Looking for opportunities / referrals 🙏
Let’s connect!
#OpenToWork #Backend #AIEngineer #LLM #RAG #Springboot
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@nitesh_singh5 Intrested.
I am using AI when sam tweeted about it.
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Putting Andrej Karpathy and Krish Naik at the same level is a crime.
Nandini@N_and_ni
I have ranked tech influencers …. Do you guys agree ?
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@KunikaKishore Anyone interested in the freelance work 2hour/day
I can get you some good opportunities.
Requirement:
Handons experience with RAG,LLM, Agentic AI
Fundamentally strong with sequence models, transformers and deep learning, Infrastructure handling (cloud and devops)
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If anyone knows AI, RAG, Langchain, there’s an amazing Contract- Based #remote opportunity, offering ₹25k-30k/month !!
If you are available for 4 hours, share me your profile to refer !!
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@Sarthak4Alpha Hey I have worked at an automation startup. Now transitioning to AI eng.
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Hi, I’m Sarthak 👋
• Backend Developer at an MNC
• Working with Go & Python
• Building scalable backend systems & APIs
• Exploring System Design, distributed systems & real-world architecture
• Built projects like TaskVault API & WorkZen (MERN stack)
• If you’re into backend/dev, let’s connect and grow together 🚀
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