KSR

Full Stack Developer | AI Explorer | .NET | React | Azure | Turning ideas into scalable solutions

[Manali Mango @mange_manali]

Hello Bangaloreans‼️

I'm hiring a Senior AI Engineer for a Bengaluru-based opportunity.

We're looking for someone who has:

• 4+ years of software engineering experience with strong Python skills
• Built and deployed AI agents in production
• Hands-on experience with LangGraph, LangChain, RAG, and agent orchestration
• Strong understanding of context engineering, prompt engineering, and LLM workflows
• Experience building scalable backend systems with FastAPI
• Worked on improving AI systems for latency, reliability, quality, and cost
• Startup or founding engineer experience is a strong plus
Someone who wants to build the AI intelligence layer of a product from the ground up would be the ideal fit.

📍 Location: Bengaluru (Work from Office)
💰 Open

Details/Apply: https://t.co/gQdFY6dbyp

Do apply or referrrr someone,
thanks :)

[Pratham @insanekrishnaa]

Hiring | Fullstack Python Developer | Remote

BairesDev is hiring a Fullstack Python Developer for a full time remote role.

• Build scalable Python backend applications and REST APIs.

• Develop responsive frontend interfaces using modern web technologies.

• Work with AWS, databases, and data processing using Pandas.

• 100% remote role with flexible working hours.

• Experience with Docker, Kubernetes, Streamlit, or AWS Bedrock is a plus.

• Great opportunity to work with global clients and high impact engineering teams.

Interested? Let me know below and I'll send you the link via DM.

Only able to see dm of ppI followed me, can only DM people whose messages are visible to me. I'll make sure everyone I can message receives the link.

[Manali Mango @mange_manali]

I am #hiring for these 4 remote engineering roles.

Let me make your Monday a little bit better, I'm got these 4 remote roles to close, do check.

1. Senior Applied AI Engineer
https://t.co/b5US4umDXa

2. Senior Fullstack AI Engineer
https://t.co/8JRf0uLR2r

3. Senior DevOps Engineer
https://t.co/yOt0TTZtGq

4. Senior Security Engineer
https://t.co/YBceqWA2pN

All of these role require a minimum of 3 years of relevant experience.
Do check the JD for specific details.

Do apply or refer friends who can benefit.
Happy Job Hunting :)

[Manali Mango @mange_manali]

Guys, hiring a Founding AI Engineer - Bangalore📍

Anyone up for this challenge?
C'mon, AI folks, here's your take :)

💰INR 40 to 60LPA

Details/Apply: https://t.co/Ylz1Xg7GSt

[Daily fitness @_Daily__fitness]

6 hand exercise

[Pratham @insanekrishnaa]

Hiring | Software Engineer ( Full Stack ) | Remote

Netomi is hiring a Software Engineer (Full Stack) for a full time remote role in India.

If you have experience building scalable web applications across the frontend and backend, this is a great opportunity to work on AI powered products.

Intrested people let me know in the reply, will DM you link !

[Cardio Arena @CadioArena]

Daily workout to build a lean calisthenics body.

[Nikki Siapno @NikkiSiapno]

8 Deployment Patterns developers should know:

1) 𝗥𝗼𝗹𝗹𝗶𝗻𝗴
↳ Gradually replaces old instances with new ones. Useful for reducing downtime, but old and new versions may run at the same time.

2) 𝗕𝗹𝘂𝗲-𝗚𝗿𝗲𝗲𝗻
↳ Keeps one live version and one idle candidate version. Once the new version is validated, traffic switches from blue to green.

3) 𝗖𝗮𝗻𝗮𝗿𝘆
↳ Releases the new version to a small percentage of users first. If metrics look healthy, the rollout expands.

4) 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗙𝗹𝗮𝗴
↳ Deploys code while keeping the feature hidden or disabled. This separates deployment from user exposure.

5) 𝗣𝗿𝗼𝗴𝗿𝗲𝘀𝘀𝗶𝘃𝗲
↳ Combines gradual rollout, metrics, feature flags, and automated decisions to increase exposure only when the release looks safe.

6) 𝗦𝗵𝗮𝗱𝗼𝘄
↳ Sends real production requests to the current version, while copying those requests to the new version for observation.

7) 𝗔/𝗕
↳ Sends different user groups to different versions so teams can compare behavior, performance, or product outcomes.

8) 𝗜𝗺𝗺𝘂𝘁𝗮𝗯𝗹𝗲
↳ Deploys the new version to fresh infrastructure instead of modifying existing instances in place.

Each pattern moves risk to a different place. There's no single best one. The choice depends on what you are trying to protect: availability, user experience, data compatibility, rollback speed, or operational simplicity.

But how do these patterns actually work under the hood? To see how, subscribe to receive our 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀 𝗗𝗲𝗲𝗽 𝗗𝗶𝘃𝗲 when it's released in a few weeks → https://t.co/oCWjbQgRhU

What else would you add?

——

🔖 Save for later.
♻️ Repost to help others learn deployment patterns.
➕ Follow me ( Nikki Siapno ) + turn on notfications.

[Suraj Sharma @suraj_sharma14]

If I had 6 months to become a GenAI Engineer.

I'd do this.

Stage 1: Python + Async Architecture FastAPI, asyncio, typing, Pydantic v2, event-driven design, API integration patterns.

Stage 2: Multimodal LLM Fundamentals Transformer architecture, SLMs vs LLMs, context window management, vision/audio inputs, token economics.

Stage 3: Structured Outputs + Prompt Ops JSON schema enforcement, function calling, prompt versioning, template management, few-shot optimization.

Stage 4: Advanced RAG + Knowledge Graphs Hybrid search, graph RAG, semantic reranking, metadata filtering, citation grounding, incremental indexing.

Stage 5: Agentic Workflows + Orchestration LangGraph/LlamaIndex, tool use, planning loops, multi-agent collaboration, human-in-the-loop handoffs.

Stage 6: Production GenAI Applications Streaming responses, optimistic UI, fallback models, rate limiting, cost-aware routing, session management.

Stage 7: Evaluation + Quality Assurance LLM-as-a-judge, automated eval harnesses, regression testing, hallucination metrics, RAGAS/DeepEval.

Stage 8: Inference + Infrastructure Optimization vLLM/SGLang, quantization (FP8/INT4), KV caching, speculative decoding, edge deployment, model distillation.

Stage 9: MLOps + Observability Distributed tracing, latency monitoring, cost dashboards, drift detection, CI/CD for prompts and models.

Stage 10: AI Safety + Compliance Guardrails, prompt injection defense, PII redaction, copyright checks, EU AI Act compliance, content filtering.

Stage 11: Open Source + Portfolio Ship multimodal agents publicly, write technical deep dives, record demo videos, contribute to orchestration libs.

Stage 12: Apply GenAI Engineer, AI Application Developer, LLM Infrastructure Engineer, Autonomous Systems Engineer roles.

Most people stay stuck watching tutorials.

Builders get hired.

(Bookmark it)

[Shubham Mishra 🐐 @shubh6200]

The highest-leverage tech career move for 2027? Becoming a Forward Deployed Engineer (FDE) role ready.

Move away from building isolated features and start dropping into high-stakes client trenches. Part SWE, part cloud architect, part strategic consultant.

Get the full blueprint here: https://t.co/WnTCZUv2kY

Becoming a Forward Deployed Engineer does not follow a single defined route. Most FDEs arrive from software engineering, DevOps, data engineering, or machine learning backgrounds, building their skills through real production deployments and enterprise integrations over time.

[Samantha Price @hellosprice]

We're hiring FDEs for @getavoca!

Forward Deployed Engineering is quickly becoming one of the most important roles in AI. To win, you need to embed with your customers, find where the product breaks in the real world, and ship the fix.

Avoca is building a world class FDE function in NYC, right now!

Not mention, they are RIPPING! 🤑

$125M+ Series B & a world domination attitude!

Let's go!

[DEV BML @officialdev_bml]

Hiring Alert !

Full Stack AI Engineer urgently needed.

Pay: $3000/month

Tech Stack:
Node.js, TypeScript, NestJS, Express.js, React.js, Next.js, OpenAI API, LangChain.js, RAG, Vector Databases, PostgreSQL, MongoDB, Redis, Docker, Kubernetes, AWS, GitHub Actions, Jenkins, Git, GitHub.

Contract: Full Time Remote Role

Share your best project link and resume link in the comments.

[Jatin @jatinprajapat29]

what a crazy github profile..

[Anton Martyniuk @AntonMartyniuk]

After 13 years building production .NET systems
This is the exact roadmap I'd follow today to pass a .NET interview at any level
And to keep advancing once you're already senior

Most prep fails for one reason: people study scattered videos and blog posts and hope it all adds up to a complete picture.
It never does.

A senior .NET interview draws from a surprisingly fixed set of areas.
Learn them on purpose, and very little surprises you.

The surface is not infinite.
It's a known map - and you can cover it deliberately, instead of hoping the right topics show up.

Here's the full map in 6 steps:

1. Know your target and your gaps
Define the level you're interviewing for, then find your blind spots before you study anything.

2. Master the full technical map
C#, async and memory, ASP .NET Core, EF Core, security, architecture, and reliability.

3. Build one real project
Depth beats numbers. Show tests, CI, Docker, and the trade-offs you accepted.

4. Turn your GitHub into a portfolio
A profile README, pinned repos, and commits a stranger can follow.

5. Make LinkedIn bring interviews to you
A specific headline and consistent presence turn your profile into an inbound channel.

6. Win the interview itself
Practice answering out loud, prepare STAR stories, and walk through system design calmly.

The gap between mid and senior shows in the details.

Many devs can explain the feature.
A senior explains the trade-offs behind it.
That is the line interviewers are really listening for.

I am Microsoft MVP, and helped tens of thousands of developers through my Newsletter.

I broke down all 6 steps, with the senior signals for every area, in my latest article.

👉 Read the full roadmap here:
↳ https://t.co/K8rhfR176x

——

𝗕𝗲𝘀𝘁 𝘁𝗼𝗼𝗹𝘀 𝗼𝗳 𝘁𝗵𝗲 𝘄𝗲𝗲𝗸:

Give your AI Agent real profiling data to diagnose performance problem: https://t.co/FBIutl5UYD

Tiger Data open-sourced an MCP server for Postgres: https://t.co/Zwxp4PBTWB

Explore the open-source repo on GitHub and try Tiger Cloud today! New users get $1,000 in free 30-day credit, no credit card require: https://t.co/hsJimmWNOf

——

♻️ Repost to help another .NET developer pass their next interview

➕ Follow me ( @AntonMartyniuk ) to improve your .NET and Architecture skills

[Patrick Tracy @ptracy75]

Warren Buffett's Stock Investment Rules

1. Drop of 5% → No action
2. Drop of 15% → Increase position by 10%
3. Drop of 25% → Increase position by 25%
4. Rise of 5% → Hold
5. Rise of 15% → Continue to hold
6. Rise of 25% → Sell 10%
7. Rise of 35% → Sell 20%
8. Rise of 45% → Sell 30%
9. Rise of 60% → Sell 40%
10. Rise of 100% → Sell entire position

Investing is never about cutting corners or seeking quick fixes; it is about whether you can seize the optimal moments to enter and exit the market, and it relies on a comprehensive strategy.

[Arti Shah @TechByArti]

🚨 BREAKING: Claude can now teach you BUILD PASSIVE INCOME realistically. For free.

Here are 16 prompts to build Passive Income:

[Ajay @ajay_2512x]

🚀 Exciting opportunity at AgentPhone!

hiring a Founding Engineer to help build the future of AI phone agents.

💵 $140K–$250K + 0.25–2.0% equity
📍 New York or San Francisco (Visa sponsorship available)
🛠️ Python, TypeScript | New grads welcome

Interview Process:
• 15 min CEO call
• 45 min CTO technical interview
• 1–2 day paid work trial (travel covered if needed)

Apply if you're excited to build from day one!
https://t.co/SHSJx3HXVx

[Harveen Singh Chadha @HarveenChadha]

We at sarvam are hiring forward deployed engineers

apply directly here: https://t.co/ZlKWXAbfZM

[Roan @RohOnChain]

My friend applied to 200 tech jobs in two years. No PhD. No Stanford.

Last month Anthropic offered him $750,000.

I asked him how he broke in from zero.

He sent me a course that was never supposed to get out. A 3-hour video to build a full LLM from scratch.

A developer teaches you exactly how LLMs like ChatGPT and Claude are actually built.

I watched it last night.

Halfway through, I realized it's embarrassingly simple to break into an AI lab.

Bookmark this and read the article below.

• 00:00 - intro to LLMs
• 05:43 - LLM transformer architecture
• 40:24 - training the LLM
• 1:30:27 - modernizing the LLM
• 2:33:53 - scaling the LLM

[Abhinav Khare @iabhinavKhare]

Hiring 3 x AI Engineers. CTC 50L Cash. Fully remote. High trust, high autonomy.

Backed by a US based PE fund. Fully funded. Profitable. Join our Core AI Engineering team. Ship LLM features, routers, Orchestrator, Loops, Context Graphs, Memory, agentic workflows, RAG pipelines end to end.
3-5 yrs eng, 1-2 yrs shipping AI/ML in prod. Strong Python. LangChain/LangGraph/Claude Agent SDK.

DM: GitHub + CV + one project you've built.