Looking for a Senior and Middle LLM engineers (ASAP)

Location: any

Start: ASAP

Duration: long-term (around 6 months)

Engagement: Full-time

English: B2+

Key Responsibilities:

We are looking for someone who can contribute further to our AgenticAI platform for construction. We need an LLM engineer who understands the following:

Design and implement deterministic workflows that ensure consistent, reliable outputs from LLMs

Solve fundamental challenges like making LLMs perform accurate mathematical operations (e.g., ensuring 1+1=2 consistently)

Build robust evaluation frameworks to measure and guarantee deterministic behaviorImplement comprehensive guardrails leveraging structured output and Pydantic models for input/output validation

Understanding of training dynamics, loss functions, and optimization strategies

Experience with parameter-efficient fine-tuning methods (LoRA, QLoRA, etc.)

Proficient in implementing and managing tool calling mechanisms

Deep understanding of Model Context Protocol (MCP) architecture and implementation

Experience in building and deploying LLM-powered applications using FastAPI/Flask and Streamlit for front-end interfaces, solid understanding of REST principles, HTTP Methods, websockets, and API lifecycle management;

Experience with SQL, NoSQL (PostgreSQL, MySQL, MongoDB, Redis), and vector databases (Pinecone, Weaviate, pgvector) for structured data storage and semantic search