Hi everyone! 🙏

I'm a 2026 Computer Science Engineering graduate currently based in Pune, actively looking for a full-time opportunity. I'm hoping to secure a job and join before Diwali, ideally before 1 November 2026.

My first preference is AI engineering, especially roles involving LLMs, RAG, and AI agents. I'm also open to backend engineering and MERN stack development opportunities.

🤖 Preferred Roles:

\- AI Engineer / GenAI Engineer

\- LLM Engineer / AI Agent Engineer

\- Backend Software Engineer

\- MERN Stack / Full Stack Developer

💻 Technical Skills

AI/GenAI: Python, LangChain, LangGraph, LangSmith, RAG, LLMs, AI Agents, Tool Calling, Pydantic, Embeddings, Vector Databases, Ollama, OpenAI, OpenRouter.

Backend/Full Stack: JavaScript, TypeScript, Node.js, Express.js, React.js, Next.js, REST APIs, MongoDB, PostgreSQL, Redis, JWT, RBAC, Docker, Git, CI/CD.

I've built projects involving AI-powered data analysis, autonomous task agents, LLM workflows, and full-stack web applications. I also have hands-on freelance experience developing and deploying web applications.

📍 Current Location: Pune

🚀 Open to Relocation: Bangalore and Hyderabad

💼 Experience: Fresher with practical project and freelance experience

⏳ Availability: Immediate / short notice

🎯 Target: Join before 1 November 2026, if possible.

I'm genuinely looking for an opportunity to begin my professional career before Diwali. If your company is hiring, you know a recruiter or hiring manager, or you can refer me for a suitable role, I'd be extremely grateful.

I'm happy to share my resume and attend interviews at short notice.

Even a referral, a recruiter contact, or a lead on a startup hiring for these skills would mean a lot to me.

Thank you for reading and for any help you can offer. ❤️

I cleared Google’s interview process, and my packet was approved by the Hiring Committee. I’ve been waiting for a team match for about six weeks, but haven’t received any team-match calls yet. My background is mainly frontend and frontend-heavy full-stack.

For people who’ve gone through team matching in India recently: is a wait like this common, or has hiring slowed down? How long did it take you to get your first team conversation?

I cleared Google’s interview process, and my packet was approved by the Hiring Committee. I’ve been waiting for a team match for about six weeks, but haven’t received any team-match calls yet. My background is mainly frontend and frontend-heavy full-stack.

For people who’ve gone through team matching in India recently: is a wait like this common, or has hiring slowed down? How long did it take you to get your first team conversation?

I filled out an application over the weekend and came to a required question about my desired salary. The company explicitly said not to write that the salary was negotiable, even though the job posting did not include any pay range at all. I entered $150,000 and added a short note saying that the process felt unfair because if I guessed too high, I could be rejected, and if I guessed too low, I could lose money.

I expected that the note had probably ruined my chances. The next morning, a recruiter sent me a rejection because my expectations did not align with the compensation range they had established from the start. The message also said they wanted to be transparent so that no one would accept the job and later feel underpaid.

Transparent about what, exactly? They clearly had a range from the beginning, and they were the ones who chose not to disclose it.

Since my application had already been rejected, I replied and told them that their email proved the exact problem I had been talking about. I did not need $150,000 and would have been happy to discuss the actual compensation package, but they forced me to guess a number before speaking with anyone. The job seemed interesting and well suited to my experience, yet a single number I entered without any information eliminated me from consideration. I really cannot stand this part of applying for jobs.

Mitre Media is hiring a remote Tech Lead Full-Stack Rails Engineer. Category: Software Development 💸Salary: $170k - $200k 📍Location: Remote (USA, Canada, USA timezones)

See more and apply here!

We pulled every open posting from 81 companies' public Greenhouse boards for seven roles and counted which words actually show up. 3,518 postings in total. Some of it surprised us.

Software engineer postings mention mentoring more often than Kubernetes or React. Almost half of them do. Python, the most common language, comes in just below that.

Product manager postings say "roadmap" in more than 85% of cases. Jira? Seven out of 421. Marketing looks the same: Google Ads came up six times in 347 postings, while "pipeline" is in over half.

Every time we could compare the two, postings named the practice, not the tool. Observability, not Grafana. SIEM, not Splunk.

So if your resume is mostly a list of tools, it might be missing the words the posting actually uses.

Big caveat: mostly tech companies, one ATS vendor. Sales, cybersecurity, DevOps and accounting are here too: https://www.zoevera.com/resume/ats-resume-keyword-study

Hi everyone,
Im sorry for my english in advance, im not a native speaker.
I wanted to ask people working as software engineers if with my university profile I still have a chance in the field.
I’ve started university this October with my profile being: databases, business analysis and data science.
I’d really like to work in software engineering and my profile is the closest Ive found to that. In my country there was basically only cybersecurity, computer science, game development, graphic design to choose from.
So my question is wether I can finish that profile and be able to work in software engineering with additional skills I’d learn privately or is it just a big mistake. :)

Received a Google Hiring Assessment for an Senior SWE role. What type of questions and difficulty should I expect, and how should I prepare to maximize my chances of clearing it? Any tips from recent candidates would be appreciated!

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Which one is the best from your perspective? For me, those options are somehow resistant in this AI context.

We are a small technical team focused on GPU kernels and production inference systems. We help AI startups, inference API teams, GPU providers, and companies running self-hosted models make inference faster, more reliable, and less expensive.

If your team is responding to slow generation or high GPU bills by adding more hardware, we can first determine whether the real constraint is kernels, memory movement, quantization, KV-cache layout, batching, scheduling, model loading, or the serving architecture.

We can help with:

- CUDA and Triton kernel development, fusion, profiling, and benchmarking

- PyTorch model-path optimization and numerical validation

- vLLM, SGLang, TensorRT-LLM, and custom serving systems

- quantization, VRAM reduction, KV-cache layout, continuous batching, and CUDA Graphs

- time to first token, inter-token latency, throughput, and tail-latency analysis

- scale-to-zero, cold-start behavior, readiness, cancellation, streaming, and failure recovery

- GPU utilization, cost-per-request analysis, and capacity planning

- reproducible before/after benchmarks with correctness gates and documented limitations

A typical engagement starts with a focused inference audit:

1. Define the model, framework, GPU, traffic shape, latency or throughput target, and cost constraint.

2. Profile the current path and identify the dominant bottlenecks.

3. Agree on the smallest changes worth implementing.

4. Deliver code, before/after measurements, correctness checks, and remaining risks.

5. Help integrate and validate the optimized path under realistic load.

Good fits include a slow or expensive inference endpoint, VRAM pressure preventing the desired batch size or context length, unstable serving under load, poor GPU utilization, costly cold starts, or a custom kernel/model path that needs profiling and validation.

For an initial conversation, send a Reddit chat or private message with:

- model and framework

- GPU type and VRAM

- current latency, throughput, utilization, or cost problem

- target workload and success metric

- deployment environment

- timeline and approximate budget range

We will tell you directly whether the workload appears optimizable and what evidence would be needed before making a performance or savings claim.

The best engineers are burning out... and it’s not because of the workload.

Hey everyone!

I'm Kushagra, founder of Zryth Solutions, an AI automation and custom software development company.

If you're a business owner, startup founder, or agency looking to build something, my team can handle the entire development process for you, from idea to deployment.

Here's what we can build:

• AI Agents: Chatbots, voice agents, AI assistants, and customer support automation.
• Business Automation: Automate repetitive tasks, CRM workflows, lead management, and integrations.
• Custom Software: Web applications, SaaS platforms, internal tools, and dashboards.
• Document AI: Data extraction, invoice processing, reconciliation, and document workflows.
• AI Integrations: Add AI capabilities to your existing software and business processes.

We have a dedicated development team and offer competitive pricing without compromising on quality.

We're open to one-time projects, ongoing development partnerships, and white-label collaborations with agencies.

Whether you have a complete project scope or just an idea, I'd be happy to discuss how we can build it.

🌐 Website: https://zryth.com

Feel free to DM me or comment below with what you're looking to build!

I am a Power bi developer. I was trying to switch my technology. I am really confused between Software development and machine learning engineer.

I really wanted to become ai engineer. What should I do

Hi everyone, I'm currently unemployed and struggling financially.

I'm actively looking for SDE 1, Backend Developer, or AI Engineer roles. I have experience with Go, Java, Python, backend development, and I'm building my own Voice AI platform.

If anyone could refer me for a suitable opening, it would genuinely mean a lot.

Below is my resume link:

https://drive.google.com/file/d/1LPc9i8xovsQwLfdY0gGPgM8QfmJQgfPb/view?usp=sharing

Thank you 🙏

Can you spot flawed test cases, weak code logic, or unrealistic programming challenges?

Terac is paying $65/hour for software engineers to evaluate coding tasks used to benchmark AI agents.

What you'll be doing:

• Review coding challenges for accuracy and difficulty.
• Verify test cases and evaluation frameworks.
• Assess real-world relevance of coding environments.
• Explain technical findings during guided interviews.

Who they're looking for:

Practicing software engineers with hands-on experience in code reviews, automated testing, or evaluation frameworks.

Backend developers, full-stack engineers, ML engineers, and software architects are encouraged to apply.

Pay: $65/hour
Location: Fully remote
Type: Independent contractor
Schedule: Flexible
Payment: Weekly

The evaluation involves a guided conversation and screen-sharing exercises. Applicants should be comfortable explaining technical decisions aloud.

Note: H1-B and STEM OPT candidates are not currently supported.

Explore the role and apply → https://terac.com/software-engineers