AI Engineer
Exaways Corporation
Title: AI Engineer
Location: San Jose, CA / Dallas, TX (Hybrid)
Mode: Contract
Client: iOPEX / Cisco Mandatory Skills: AI, Python, GenAI, SQL / PL-SQL, LLM, RAG, LangChain, LangGraph Job Description: Software Engineering & System Design
Location: San Jose, CA / Dallas, TX (Hybrid)
Mode: Contract
Client: iOPEX / Cisco Mandatory Skills: AI, Python, GenAI, SQL / PL-SQL, LLM, RAG, LangChain, LangGraph Job Description: Software Engineering & System Design
- Write, test, and deploy production-quality code with a strong focus on scalability and performance.
- Design and implement end-to-end systems including API, database, and application layers.
- Consider memory usage, performance optimization, and modular architecture in code design.
- Follow modern DevOps practices for deployment and environment management.
- Write clean, modular Python code with proper environment management (virtualenv, poetry, conda).
- Build and deploy RESTful APIs using frameworks like FastAPI or Flask.
- Connect applications to relational and NoSQL databases.
- Containerize applications using Docker and deploy in Kubernetes / cloud environments.
- Write and optimize SQL and PL/SQL queries for data retrieval and transformation.
- Integrate database logic effectively into application workflows.
- Understand how Large Language Models (LLMs) work - architecture, limitations, and tuning methods.
- Design and implement RAG (Retrieval-Augmented Generation) systems:
- Build pipelines connecting vector databases, LLMs, and application layers.
- Optimize retrieval and response accuracy through prompt engineering and context management.
- Apply best practices and advanced RAG techniques (chunking strategies, caching, query re-ranking).
- Develop and manage prompt templates, parameter configurations, and evaluation metrics.
- Understand AI agents, their lifecycle, and how they integrate with tools and APIs.
- Implement tool calling and human-in-the-loop workflows.
- Design multi-agent architectures using frameworks such as LangChain or LangGraph.
- Apply agent orchestration best practices, ensuring reliability, observability, and control.
- Strong understanding of software design principles and ability to think like a developer (language agnostic).
- Proficiency in Python with good exposure to building APIs, database integration, and container-based deployment.
- Working knowledge of SQL / PL-SQL for querying and joining data.
- Experience in developing or integrating GenAI or RAG-based systems using OpenAI, Anthropic, or similar models.
- Familiarity with LangChain, LangGraph, or similar frameworks for AI workflow orchestration.
- Strong debugging, optimization, and analytical skills.
- Excellent communication and collaboration abilities in a fast-paced environment.
- Exposure to cloud platforms (AWS, GCP, Azure) for AI workload deployment.
- Experience with vector databases (FAISS, Pinecone, Weaviate, or Chroma).
- Knowledge of monitoring and observability tools for AI systems.
- Familiarity with CI/CD pipelines, GitOps, and infrastructure automation.
Vacancy posted 4 days ago
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