Sr AI/LLM Engineer

Hiring: Sr AI/LLM Engineer

Overall 8+ years’ experience with 5+ years in AI development. PFB the technology skills required.

Location: Frisco & Irving, TX (Hybrid)

Visa: USC and GC

Key Responsibilities & Skills:

Core Language & Architecture

Python 3.11+

Advanced type hints (PEP 484), static typing discipline

Async programming (asyncio, async/await, async generators)

aiohttp / httpx (async HTTP clients)

Pydantic v2 (BaseModel, validation, settings management)

Structured logging & tracing patterns

Redis (pub/sub, TTL, async clients)

REST API design & integration patterns

Retry/backoff strategies (Tenacity)

Concurrency patterns (parallel tool calls, task orchestration)

AI / LLM / Agent Systems

LangGraph (state machines, conditional edges, checkpointing)

LangChain 0.3.x (LLMChain, StructuredTool, retrievers, prompt templates)

ReAct-style agent architectures

Tool-based agent design (40+ tool environments)

Azure OpenAI / OpenAI APIs (GPT-4o, deployment mgmt, rate limits, token budgeting)

Prompt engineering (few-shot, structured output, JSON mode)

PydanticOutputParser / structured LLM responses

Guardrails / PII redaction patterns

Memory abstractions for agents

Langfuse (trace instrumentation, evaluation, prompt management)

LLM fallback chains & error recovery

RAG prompt grounding strategies

LLM fine-tuning

Neural Network training & tuning

Traditional ML models (random forest, k-means clustering, linear regression, etc.)

MCP development and consumption

Retrieval, Search & RAG Engineering

Vector databases (Qdrant and/or Milvus)

HNSW indexing parameters

Filtering strategies

Embedding pipelines (OpenAI ada-002 or equivalent)

Batch embedding & re-indexing workflows

Hybrid retrieval (BM25 + semantic)

Score fusion strategies

Cross-encoder reranking (BAAI/bge models)

FastAPI-based inference services

LangChain retriever abstractions

RAG evaluation metrics:

Interested? Apply now or DM us to explore this opportunity!

You can share resumes at [email protected]