Senior AI/LLM Engineer - Python

Job Title: Senior AI/LLM Engineer - Python

Work Location & Reporting Address: Richardson, TX 75082 (Onsite-Hybrid. Candidates willing to relocate to client location will be considered)

Contract duration: 12 Months

Interview Process (Is face to face required?): Virtual

Must Have Skills:

Python 3.11+

LangGraph

LanEligible to workhain

Azure OpenAI/OpenAI APIs

FastAPI

Vector Databases

PostgreSQL

Docker

Nice to Have Skills:

Columnar performance tuning

Network operations domain knowledge

OAuth 2.0

Microsoft Graph API

Detailed Job Description:

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

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)

LanEligible to workhain 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

LanEligible to workhain retriever abstractions

RAG evaluation metrics:

1. Faithfulness

2. Relevance

3. NDCG

4. MRR

Trace-level RAG evaluation (Langfuse)

Data Engineering & ETL

Prefect 2.x / 3.x

1. Flows, tasks, futures

2. Deployments (YAML)

3. Scheduling

ETL/ELT design o Schema evolution

1. Query Eligible to workimization

OAuth authentication

Warehouse/schema management

PostgreSQL 16/17

1. psycopg 3.x

2. Connection pooling

3. SQLAlchemy 2.x (ORM + asyncio)

4. Alembic migrations

5. Advanced SQL

6. Multi-table JOINs

7. CTEs

8. Window functions

Timezone conversion

Pandas 2.x (complex multi-stage transformations)

PyArrow / columnar formats

Azure Blob Storage (azure-storage-blob)

Document ingestion/parsing:

1. Docling

2. Unstructured

3. python-docx

4. python-pptx

DevOps & Platform

Docker

Linux fundamentals

Nice-to-Haves

Ray (distributed execution)

Columnar performance tuning

Network operations domain knowledge

NOC / alarm correlation familiarity

API & Enterprise Integrations

OAuth 2.0 (client credentials flow, token lifecycle)

MSAL (browser + service principal flows)

Microsoft Graph API

SharePoint

Outlook

Planner

OneDrive

Pagination

App permissions

ServiceNow REST API

Table API

Incident/change mgmt

Bulk operations

Splunk SDK

Saved searches

Async queries

Log analysis

Azure AD app registrations

IPAM / OTNA integrations (nice-to-have domain exposure)

Minimum Years of Experience: 7+ years

Certifications Needed:

None

Top 3 responsibilities you would expect the Subcon to shoulder and execute:

RAG prompt grounding strategies LLM finetuning

API Enterprise Integrations OAuth 2.0 client credentials flow, token lifecycle MSAL browser service principal flows Microsoft Graph API SharePoint Outlook Planner OneDrive

Vector databases Qdrant andor Milvus

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