GenAI | LLM Engineer Technical Task Support & Debugging Assistance

Get Expert Full-Stack Python, GenAI Developer & LLM Engineer Job Support

Online Technical Support at endtrace, Our On-Job technical assistance objective is to solve complex issues / tasks in real-time working project requirements.

We are a dedicated team of GenAI Developers, LLM Engineers, and
Prompt Engineering specialists providing real-time support, technical job assistance, and task completion services.

We help you debug, complete, or optimize AI job tasks involving LangChain, OpenAI, huggingFace, embeddings, and vector databases like FAISS, Pinecone, ChromaDB, or Weaviate.

What We Do

We provide task-based assistance to help to accomplish the tasks you struck or facing issues:

• GenAI task debugging & code completion
• LangChain + OpenAI pipeline review/fix
• LLM / AI agent workflow setup (LangChain, LangGraph, CrewAI, AutoGen)
• Embeddings + vector DB (Chroma, Pinecone, FAISS) support
• Sprint execution & urgent micro-task delivery
• Real-time 1-on-1 or async help via Zoom, GitHub, or chat

Our Expert Team Covers

• Languages: Python, AsyncIO, REST
• LLMs: GPT-4, Claude 3, LLaMA 2, Mistral
• Frameworks: LangChain, CrewAI, AutoGen, FastAPI
• Embedding Models: BGE, E5, InstructorXL, OpenAI, huggingface
• Vector Databases: FAISS, Pinecone, Chroma, Weaviate
• DevOps: GitHub, Vercel, AWS Lambda, Docker 

Python Core Skills Our Experts Bring

• Async Programming: asyncio, async/await, httpx for non-blocking I/O operations in GenAI pipelines
• API Integration: RESTful API consumption using requests, httpx, urllib; working with OpenAI, Anthropic, Hugging Face APIs
• Object-Oriented Programming: Modular, class-based design for scalable LangChain and FastAPI architectures
• Concurrency & Parallelism: Threading, multiprocessing for faster batch processing and document ingestion pipelines
• Exception Handling: Robust try/except practices to catch and resolve API or model errors in real time
• Testing: PyTest, UnitTest frameworks for validating prompt chains, vector search, and API endpoints
• Data Manipulation: Pandas, NumPy for cleaning and transforming text datasets before embeddings
• Environment Management: Virtual environments (venv, conda), dotenv files for API key and dependency isolation
• Data Formats: JSON, YAML, CSV handling for prompts, embeddings, and vector DB schema setup
• Regex + Text Processing: Clean, chunk, and normalize unstructured data for better LLM context handling
• Dependency Management: Poetry, pip-tools, or requirements.txt for structured, conflict-free project setups

Our task-based model is trusted by engineers and AI freelancers who need expert-level coding assistance, code reviews, and prompt engineering refinement.

We work across Python, FastAPI, LangChain, Hugging Face, and modern vector search tools to get your project unstuck and delivered.