Python Developer
Pace Ai
- Location
- US
- Workplace
- Remote
- Employment
- Full Time
- Salary
- —
Posted 2mo ago
Python Developer (AI & LLMs) | Careers | Space AI Skip to main content
Python Developer (AI & LLMs)
Full-time
1+ Years of Relevant Experience
Remote
Overview
We seek a Python Developer with expertise in graph databases (Neo4j), RAG pipelines, and vLLM optimization. You'll design scalable AI systems, enhance retrieval-augmented workflows, and deploy high-performance language models to power our project analytics engine.
Apply via WellfoundApply via Naukri
Key Responsibilities
AI & LLM Systems
- Build end-to-end RAG (Retrieval-Augmented Generation) pipelines for context-aware AI responses.
- Implement and fine-tune vLLM for efficient inference of large language models (LLMs).
- Collaborate with ML engineers to deploy transformer models (e.g., BERT, GPT variants) and vector databases.
Data & Database Architecture
- Architect and optimize graph database systems (Neo4j) to model project knowledge networks and relationships.
- Develop Python-based microservices for data ingestion, processing, and API integrations (FastAPI, Flask).
Performance & Operations
- Monitor system performance, conduct A/B tests, and ensure low-latency responses in production.
- Ensure scalability and efficiency of AI systems.
Requirements
- Proficiency in Python and AI/ML libraries (PyTorch, TensorFlow, Hugging Face Transformers).
- Hands-on experience with graph databases, especially Neo4j (Cypher queries, graph algorithms).
- Demonstrated work on RAG pipelines (retrieval, reranking, generation) using frameworks like LangChain or LlamaIndex.
- Experience with vLLM or similar LLM optimization tools (quantization, distributed inference).
- Knowledge of vector databases (e.g., FAISS, Pinecone) and embedding techniques.
- Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes).
Preferred Qualifications
- Strong experience with FastAPI or Flask for building high-performance APIs.
- Familiarity with MLOps principles and tools (e.g., MLflow, Kubeflow).
- Contributions to open-source AI/ML projects.
- Experience in performance tuning and A/B testing for AI systems in a production environment.
Soft Skills
- Strong analytical and problem-solving skills.
- Excellent communication and team collaboration abilities.
- Self-motivated with the ability to work independently and as part of a team.
What We Offer
Competitive salary and performance-based bonuses.
Flexible working hours with remote work options.
Opportunities for professional development and skill enhancement.
Collaborative and inclusive work environment.
Paid sick time
Paid time off
Provident Fund
Performance bonus
Yearly bonus
Ready to Apply?
Send your resume and a brief cover letter explaining why you're a great fit for this role.
Apply via WellfoundApply via Naukri
Skills
- Python
- Neo4j
- RAG
- vLLM
- PyTorch
- TensorFlow
- Hugging Face Transformers
- LangChain
- LlamaIndex
- FAISS
- Pinecone
- AWS
- GCP
- Azure
- Docker
- Kubernetes
- FastAPI
- Flask
Similar roles
VP Software Engineering
Planted · Oakland, California, United States · USD 275,000–325,000/yr · today
Software Engineer II, Data Analytics & Engineering
Pinterest · San Francisco, CA, US · Remote, US · today
Software Engineer, Agent Delivery
Pallet · San Francisco · USD 135,000–180,000/yr · today
Manager II, Software Engineering, Infrastructure
Samsara · SF Bay Area · USD 154,700–260,000/yr · today
Intern, Software Engineer AI Agents (Fall 2026/Winter 2027)
Bot Auto · Houston, TX · today
Staff Software Engineer, Backend
Archer · San Jose, California, United States · today