u/Intelligent-Cut-6800

Hey everyone, hope this is allowed here. I'm currently working full-time as an AI Engineer but I've got some extra responsibilities coming up and want to pick up a second remote role, part-time or full-time, to build another income stream. Not desperate for it, just want to put myself out there in case someone's looking for what I do.

A bit about me first since the timeline can look weird on paper, I graduated from SEECS, NUST in 2024, but I'd already been working since 2021, so realistically I've got 5 years in. That's actually why my current company brought me on as a Senior Software Engineer right after graduation instead of putting me through the fresh-grad track. Everything I've built since then has been production stuff, real users, real traffic, real bugs at 2am, not toy projects.

Here's roughly what I've spent the last few years doing:

* Building always-on agentic AI applications end to end, the kind that run 24/7 in prod, not just demos * Built efficient user query management pipeline using LangGraph with context caching and memory management. * Python and TypeScript day to day, mostly FastAPI, Django, Next.js, Express/Node * Managing Linux servers myself deployments, microservices, audit logging, all of it * Setting up local/sovereign LLMs for clients who don't want their data leaving their own infra, using Ollama and vLLM * Fine-tuning models with Llama Factory when off-the-shelf isn't good enough * Playing around with (and shipping stuff on) newer agentic tooling MCP, OpenClaw, n8n * Building the API layer that connects the AI services to actual frontends * About 4 years now doing hybrid RAG, including something I built myself called TAG (table-augmented generation) that turns messy tabular/technical data into stuff a non-technical person can actually read and understand * Adding ontology on top of RAG to turn unstructured data into proper knowledge graphs * Dealing with multi-tenancy in RAG apps, which is way more annoying in practice than any tutorial makes it look * Vault and Infisical for secrets management and credential rotation, so basic security hygiene is second nature at this point * Worked with Neo4j, PGVector, Pinecone, and Qdrant depending on the use case * Built ingestion pipelines pulling from Slack and Gmail into a RAG database using Celery workers

Random extra thing, I've got an Oxford University Press recognition for reviewing a paper in the ICES Journal of Marine Sciences, so I guess I take reading/reviewing stuff seriously too, not just code.

If anyone's hiring for something in the agentic AI / RAG / LLM infra space, or knows someone who is, drop a comment or DM me. Happy to talk specifics or jump on a call. I can share my resume on demand in DM for more detailed information

Hey everyone, hope this is allowed here. I'm currently working full-time as an AI Engineer but I've got some extra responsibilities coming up and want to pick up a second remote role, part-time or full-time, to build another income stream. Not desperate for it, just want to put myself out there in case someone's looking for what I do.

A bit about me first since the timeline can look weird on paper, I graduated from SEECS, NUST in 2024, but I'd already been working since 2021, so realistically I've got 5 years in. That's actually why my current company brought me on as a Senior Software Engineer right after graduation instead of putting me through the fresh-grad track. Everything I've built since then has been production stuff, real users, real traffic, real bugs at 2am, not toy projects.

Here's roughly what I've spent the last few years doing:

• Building always-on agentic AI applications end to end, the kind that run 24/7 in prod, not just demos
• Built efficient user query management pipeline using LangGraph with context caching and memory management.
• Python and TypeScript day to day, mostly FastAPI, Django, Next.js, Express/Node
• Managing Linux servers myself deployments, microservices, audit logging, all of it
• Setting up local/sovereign LLMs for clients who don't want their data leaving their own infra, using Ollama and vLLM
• Fine-tuning models with Llama Factory when off-the-shelf isn't good enough
• Playing around with (and shipping stuff on) newer agentic tooling MCP, OpenClaw, n8n
• Building the API layer that connects the AI services to actual frontends
• About 4 years now doing hybrid RAG, including something I built myself called TAG (table-augmented generation) that turns messy tabular/technical data into stuff a non-technical person can actually read and understand
• Adding ontology on top of RAG to turn unstructured data into proper knowledge graphs
• Dealing with multi-tenancy in RAG apps, which is way more annoying in practice than any tutorial makes it look
• Vault and Infisical for secrets management and credential rotation, so basic security hygiene is second nature at this point
• Worked with Neo4j, PGVector, Pinecone, and Qdrant depending on the use case
• Built ingestion pipelines pulling from Slack and Gmail into a RAG database using Celery workers

Random extra thing, I've got an Oxford University Press recognition for reviewing a paper in the ICES Journal of Marine Sciences, so I guess I take reading/reviewing stuff seriously too, not just code.

If anyone's hiring for something in the agentic AI / RAG / LLM infra space, or knows someone who is, drop a comment or DM me. Happy to talk specifics or jump on a call. I can share my resume on demand in DM for more detailed information