GenAI Engineer
- California Soft Tech INC.
13 Hours Ago
NA
C2C
Alpharetta-GA
9-12 Years
Required Skills: End-to-end software engineering, system architecture, enterprise production systems, Java, Python, FastAPI, Flask, Django, SQL, NoSQL, LLMs, prompt engineering, context engineering, RAG, vector search, session management, knowledge retrieval, cloud infrastructure, Docker, CI/CD
Job Description
Need experienced GenAI Engineers to support Client. You will design, build, and deploy enterprise-grade Generative AI solutions that integrate large language models (LLMs), RAG, and intelligent agents into production systems at scale.
This is an end-to-end engineering role spanning architecture, development, deployment, and optimization. You will partner with engineering, product, and business teams to deliver reliable GenAI solutions that drive measurable business outcomes.
Key Responsibilities
* Design and develop end-to-end software solutions and architectures for enterprise production environments.
* Build scalable backend services and APIs using Python, FastAPI, Flask, or Django and SQL/NoSQL databases.
* Develop and optimize prompts across OpenAI, Anthropic, and open-source LLMs.
* Implement context engineering strategies, including session management, vector search, knowledge retrieval, and RAG.
* Build and integrate AI agents and agentic workflows into enterprise applications.
* Develop conversational and multi-agent workflows using frameworks such as LangGraph.
* Design distributed systems for enterprise-scale performance, reliability, and scalability.
* Containerize applications using Docker and support CI/CD deployment on cloud infrastructure.
* Collaborate with cross-functional engineering and product teams to solve complex technical problems.
Must-Have Qualifications
* Strong experience in end-to-end software engineering and system architecture.
* Proven experience building and deploying enterprise production systems.
* Extensive Java and/or Python architecture and development experience.
* Strong full-stack Python experience, including FastAPI, Flask, Django, SQL, and NoSQL.
* Hands-on expertise with LLMs and prompt engineering.
* Strong understanding of context engineering, RAG, vector search, session management, and knowledge retrieval.
* Production experience integrating AI agents and LLMs into applications.
* Experience with LangGraph or comparable agent/workflow frameworks.
* Familiarity with cloud infrastructure, Docker, and CI/CD.
* Experience designing distributed and scalable enterprise systems.
* Strong analytical, problem-solving, and communication skills.
Preferred
* Contributions to open-source LLM, AI agent, RAG, or prompt-engineering projects.
* Experience deploying GenAI applications at enterprise scale.
* Experience evaluating and optimizing LLM applications for quality, latency, reliability, and cost.
