> Markdown version of [/jobs/ext/3550543-genai-engineer](https://www.wearedevelopers.com/jobs/ext/3550543-genai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GenAI Engineer - **Company:** Synechron Inc - **Location:** Charlotte, NC, United States - **Salary:** $100,000.0 - $110,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Optical Character Recognition (OCR), Microsoft Azure, Cloud Computing, Continuous Integration, Elasticsearch, Github, Python (Programming Language), NoSQL, Open Source Technology, Performance Tuning, SQL Databases, Systems Integration, TypeScript, Speech Recognition, Data Logging, Data Ingestion, ReactJS, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Generative AI, Fastapi, AngularJS, Gitlab-ci, Kubernetes, Nintex, Machine Learning Operations, Speech Synthesis, Restful APIs, Terraform, GPT, Data Pipelines, Docker, Jenkins, Microservices - **Published:** September 30, 2026 - **Apply:** https://www.thejobnetwork.com/job/a651b5b4-c945-462b-8749-e65bea73ff2e/genai-engineer ## About the Role * Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related field, or equivalent practical experience. \n * Strong expertise in Generative AI and LLMs, including OpenAI GPT, Claude, Gemini, Llama, or Mistral, with knowledge of prompt engineering, fine-tuning, function calling, tool integration, agent orchestration, context management, and memory handling. \n * Proficiency in Python and experience building REST APIs, microservices, and enterprise integrations using FastAPI or Flask. \n * Practical experience with RAG architecture, vector databases, embedding models, semantic and hybrid search, and document ingestion pipelines, using technologies such as Pinecone, Weaviate, ChromaDB, FAISS, Milvus, Elasticsearch, or OpenSearch. \n * Knowledge of Docker, Kubernetes, CI/CD, GitHub Actions, Jenkins, GitLab CI, Terraform, and cloud platforms such as AWS, Azure, or GCP. Familiarity with MLOps, model deployment, monitoring, logging, AI governance, security, SQL/NoSQL databases, and data pipelines. Strong communication, problem-solving, and stakeholder management skills. \n, * Experience building AI copilots, enterprise assistants, conversational interfaces, or AI-powered user experiences. \n * Familiarity with MCP (Model Context Protocol). \n * Experience with Apache Airflow, n8n, Temporal, or Camunda. \n * Knowledge of AI security, responsible AI, governance, and model evaluation frameworks. \n * Ability to balance innovation with scalability, reliability, security, and operational excellence. \n, * Experience in Capital Markets, Banking, Healthcare, Retail, Insurance, or other enterprise domains. \n * Familiarity with OCR, intelligent document processing, speech-to-text, text-to-speech, or multimodal AI. \n * Experience with AI observability, guardrails, red-teaming, and model risk management. ## Related Videos - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Livecoding with AI](https://www.wearedevelopers.com/videos/1201-livecoding-with-ai) - [Make it simple, using generative AI to accelerate learning](https://www.wearedevelopers.com/videos/969-make-it-simple-using-generative-ai-to-accelerate-learning) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)