Posted:8 hours ago|
Platform:
On-site
Full Time
We don’t just build long-term partnerships with clients—we build long-term careers for our people. At Mako, you’ll be part of a collaborative, supportive, and fast-growing global team where curiosity is encouraged, initiative is celebrated, and every individual plays a meaningful role in shaping the company’s journey.
· Build autonomous LLM agents using LangChain, LangGraph, and FastMCP.
· Develop RAG workflows using embeddings, vector stores, and knowledge-grounded reasoning.
· Implement Tavily web-search integrations for real-time knowledge augmentation.
· Optimize inference using quantized GGUF, tensorized formats, and GPU-accelerated pipelines.
· Integrate LoRAs, control modules, and diffusion-based fine-tuning for custom domains.
· Develop multimodal agents that combine LLM reasoning with vision tasks such as classification, captioning, or image prompts.
· Build robust FastAPI services for orchestrating LLMs, Stable Diffusion, retrieval, and agentic tasks.
· Implement auditing, agent-output monitoring, and API-layer logging for end-to-end traceability.
· Integrate third-party services: authentication, analytics, search APIs, cloud inference APIs, and enterprise data sources.
· Build secure and scalable API layers for production deployments.
· Fine-tune LLaMA, Mistral, Phi-3, and diffusion models for domain-specific tasks.
· Use MLflow for tracking experiments, hyperparameters, metrics, and versioning.
· Conduct evaluation on hallucinations, retrieval consistency, reasoning depth, and multimodal accuracy.
· Model quantization (GGUF), optimization, and GPU memory tuning
· Agent frameworks & tool calling (FastMCP, Groq, Hugging Face)
· Stable Diffusion, ControlNet, LoRA fine-tuning, custom pipelines
· Diffusers, ComfyUI, or InvokeAI experience (bonus)
· Kafka-based event-driven systems
· FastAPI/Flask/Node.js backend development
· Third-party API integrations
· Docker, CI/CD, and cloud platforms (GCP/Azure)
· MongoDB, DuckDB,
· Embedding stores, vector databases (Pinecone / Qdrant), retrieval optimization
· MLflow for experiment tracking and model lifecycle
· Performance monitoring, logging, auditing, API observability
· React, Redux, Next.js, Electron.js for dashboards and AI interfaces
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