Job Description
Role Overview
We are seeking an experienced AI‑focused Software Engineer to design, build, and scale intelligent applications powered by modern AI and large language models. This is not a Data Scientist role—we are looking for a strong software engineering professional with deep expertise in building production‑grade AI systems, APIs, and distributed architectures.
- Key Responsibilities
- Design and develop Python‑based APIs for AI‑powered applications and services
- Build and orchestrate agentic workflows using modern frameworks such as LangChain, LangGraph, AutoGen, Semantic Kernel, or LlamaIndex
- Implement and optimize Retrieval‑Augmented Generation (RAG) pipelines
- Develop scalable AI systems leveraging machine learning and deep learning frameworks
- Integrate and manage vector databases (e.g., Pinecone, Weaviate, Chroma) for semantic search and memory
- Architect and deploy applications across cloud platforms (AWS, GCP, Azure)
- Apply domain‑driven design (DDD) principles and build microservices architectures
- Ensure code quality through strong use of object‑oriented programming principles (inheritance, polymorphism) and proven design patterns
- Collaborate cross‑functionally to deliver robust, production‑ready AI solutions
- Required Qualifications
- Strong experience in Python software development
- Hands‑on experience with LLM frameworks and orchestration tools (LangChain, LangGraph, AutoGen, etc.)
- Solid understanding of RAG architectures and vector search systems
- Experience working with machine learning frameworks such as TensorFlow or PyTorch
- Proficiency in building and consuming RESTful APIs
- Experience with cloud infrastructure (AWS, GCP, or Azure)
- Strong knowledge of microservices architecture and domain‑driven design
- Deep understanding of object‑oriented programming concepts and software design patterns
- Preferred Qualifications
- Experience building agent‑based or autonomous AI systems
- Familiarity with real‑time AI applications and streaming architectures
- Experience optimizing AI systems for performance and scalability
- Exposure to MLOps practices and deployment pipelines
- What Success Looks Like
- You deliver scalable, production‑grade AI systems, not prototypes
- You can design complex agentic workflows that solve real business problems
- You write clean, maintainable, and well‑architected code
- You bridge the gap between AI capabilities and software engineering excellence
Apply tot his job
Apply To this Job