AI Python Full Stack Engineer ( W2 Position)
Posted 1 day ago by 1763626004
Negotiable
Outside
Remote
USA
Summary: The AI Python Full Stack Engineer role involves designing, developing, and deploying AI-driven applications, requiring strong expertise in Python, backend and frontend frameworks, and modern AI/ML tools. The position is remote and focuses on building scalable solutions that integrate AI models and services. Candidates should have a solid background in both backend and frontend development, along with experience in cloud platforms. The role emphasizes full-stack ownership and collaboration with cross-functional teams.
Key Responsibilities:
- Develop and maintain Python-based backend services and APIs using frameworks like FastAPI, Flask, or Django.
- Build and integrate AI/ML models, including LLMs, RAG systems, embeddings, and vector databases.
- Implement agentic AI workflows that can call tools, orchestrate tasks, and automate actions.
- Build scalable data pipelines for model training and inference.
- Optimize models for performance, latency, and cost.
- Develop responsive UI using React, Next.js, or similar frameworks.
- Integrate frontend with backend AI services and APIs.
- Build dashboards, chat interfaces, and workflow screens interacting with AI outputs.
- Translate business requirements into technical design and working software.
- Own the end-to-end delivery of features from design to production.
- Build reusable components and maintain coding best practices.
- Collaborate closely with product, design, and data/ML teams.
- Deploy full-stack applications on AWS/Azure/Google Cloud Platform.
- Implement CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI).
- Work with containerization technologies like Docker and Kubernetes.
- Manage vector databases (Pinecone, FAISS, Chroma) and document stores (MongoDB, PostgreSQL, DynamoDB).
Key Skills:
- Strong proficiency in Python for backend and AI development.
- Experience with FastAPI / Flask / Django.
- Hands-on experience with LLMs, RAG, embedding models, and AI agent frameworks.
- Excellent understanding of REST APIs, microservices, and distributed systems.
- Frontend experience with React, Next.js, Typescript, HTML/CSS.
- Familiarity with cloud services such as AWS Lambda, S3, EC2, API Gateway, Bedrock, SageMaker, or Azure OpenAI.
- Experience with SQL and NoSQL databases.
- Strong debugging, optimization, and production support skills.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
We need candidates with solid experience in Python, FastAPI/Flask, React/Next.js, LLMs, RAG, Vector DBs, and cloud (AWS/Azure).
Job Title: AI Python Full Stack Engineer
Location: Remote
We are looking for a talented AI Python Full Stack Engineer to design, develop, and deploy AI-driven applications. The ideal candidate will have strong expertise in Python, backend development, frontend frameworks, and hands-on experience with modern AI/ML tools, GenAI pipelines, API integrations, and cloud platforms.
Responsibilities
AI / Backend Engineering
- Develop and maintain Python-based backend services and APIs using frameworks like FastAPI, Flask, or Django.
- Build and integrate AI/ML models, including LLMs, RAG systems, embeddings, and vector databases.
- Implement agentic AI workflows that can call tools, orchestrate tasks, and automate actions.
- Build scalable data pipelines for model training and inference.
- Optimize models for performance, latency, and cost.
Frontend Engineering
- Develop responsive UI using React, Next.js, or similar frameworks.
- Integrate frontend with backend AI services and APIs.
- Build dashboards, chat interfaces, and workflow screens interacting with AI outputs.
Full-Stack Ownership
- Translate business requirements into technical design and working software.
- Own the end-to-end delivery of features from design to production.
- Build reusable components and maintain coding best practices.
- Collaborate closely with product, design, and data/ML teams.
DevOps / Cloud
- Deploy full-stack applications on AWS/Azure/Google Cloud Platform.
- Implement CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI).
- Work with containerization technologies like Docker and Kubernetes.
- Manage vector databases (Pinecone, FAISS, Chroma) and document stores (MongoDB, PostgreSQL, DynamoDB).
Required Skills
- Strong proficiency in Python for backend and AI development.
- Experience with FastAPI / Flask / Django.
- Hands-on experience with LLMs, RAG, embedding models, and AI agent frameworks.
- Excellent understanding of REST APIs, microservices, and distributed systems.
- Frontend experience with React, Next.js, Typescript, HTML/CSS.
- Familiarity with cloud services such as AWS Lambda, S3, EC2, API Gateway, Bedrock, SageMaker, or Azure OpenAI.
- Experience with SQL and NoSQL databases.
- Strong debugging, optimization, and production support skills.
Preferred Skills
- Experience with vector databases (Pinecone, FAISS, Weaviate).
- Knowledge of LangChain, LlamaIndex, or OpenAI function-calling agents.
- Experience building chatbots or agentic AI solutions.
- Knowledge of MLOps, monitoring tools, and observability.
- Familiarity with event-driven architectures (Kafka, Kinesis).
- Basic understanding of UI/UX principles.
Education & Experience
- Bachelor s or Master s degree in Computer Science, Engineering, or a related field (preferred).
- 3 8+ years of experience in software engineering, including at least 1 2 years in AI/ML or LLM-based application development.