The Role
Build and deploy generative AI applications by integrating LLMs into real-world systems. Develop Python-based backend services, APIs, RAG pipelines, prompt workflows, tool calling, and multi-step orchestration. Deploy and monitor AI services across Azure, AWS, and GCP, measuring performance, latency, and cost. Collaborate with frontend, data, and cloud teams while applying vector databases, embeddings, authentication, and application security.
Summary Generated by Built In
AI Engineer
Experience: 5–7 Years
Title: AI Engineer
Role OverviewAs an AI Engineer, you will build and deploy GenAI-enabled applications by integrating LLMs into real-world systems. You will work hands‑on across backend services, AI orchestration, APIs, and cloud deployments.
Key Responsibilities- Build GenAI-powered applications (chatbots, copilots, AI assistants, AI-enabled workflows)
- Integrate LLMs (OpenAI / Azure OpenAI / Anthropic / OSS models) into applications
- Develop backend services using Python / FastAPI / Flask / Node.js
- Implement RAG pipelines using vector databases and embeddings
- Build prompt pipelines, tool calling, and multi-step LLM workflows
- Deploy AI services on Azure / AWS / GCP
- Monitor performance, latency, and cost of GenAI systems
- Work closely with frontend, data, and cloud teams
- 5+ years overall experience in software / application development
- Strong Python (mandatory)
- Solid backend development experience (APIs, microservices)
- Strong hands-on experience in Generative AI & LLMs
- Experience with:
- LangChain / LangGraph / Similar frameworks
- Vector DBs (Pinecone, FAISS, Weaviate, pgvector)
- Understanding of REST, authentication, and app security
- Experience deploying applications on cloud
- Frontend exposure (React / Angular)
- CI/CD, Docker, Kubernetes
- AI evaluation & observability practices
Skills Required
- 5+ years of overall software or application development experience
- Strong Python programming skills
- Solid backend development experience, including APIs and microservices
- Hands-on experience with Generative AI and LLMs
- Experience with LangChain, LangGraph, or similar frameworks
- Experience with vector databases such as Pinecone, FAISS, Weaviate, or pgvector
- Understanding of REST, authentication, and application security
- Experience deploying applications on cloud platforms
- Frontend exposure with React or Angular
- Experience with CI/CD, Docker, or Kubernetes
- AI evaluation and observability experience
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The Company
What We Do
Anblicks is a Cloud Data Analytics Company based out of Dallas, TX, with offices in USA, India, and Australia. Since 2004, Anblicks has been helping customers by bringing value to their data and implementing modern data architecture and advanced analytics solutions in the cloud.
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