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# GenAI Developer

- **Company:** Synechron Inc
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $100,000 - $120,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Optical Character Recognition (OCR), Microsoft Azure, Cloud Engineering, Computer Programming, Databases, Continuous Integration, Information Leak Prevention, Software Design Patterns, Graph Database, Information Extraction, Python (Programming Language), Knowledge Management, Machine Learning, Performance Tuning, Software Architecture, OpenAI, Tensorflow, Search Technologies, Software Engineering, Unstructured Data, Workflow Management Systems, Enterprise Search, Google Cloud, Pytorch, LangChain, Retrieval-Augmented Generation, Transfer Learning, Large Language Models, Multi-Agent Systems, Prompt Engineering, Google Vertex AI, Model Validation, Llamaindex, Generative AI, Agentic-AI, LangSmith, Kubernetes, Information Technology, Amazon Bedrock, HuggingFace, Transformer Architectures, Machine Learning Operations, Invoking Functions, Restful APIs, Data Pipelines, Docker, Microservices
- **Published:** November 8, 2026
- **Apply:** https://www.thejobnetwork.com/job/4282bf08-f9db-4a55-9c00-f3adaaedd5bf/genai-developer

## About the Role

We are looking for an experienced GenAI Developer to drive the design, development, and implementation of Generative AI solutions across the organization. The ideal candidate will have strong expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI/ML engineering, cloud platforms, and production-grade application development., * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
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 * 6+ years of experience in software engineering, data science, machine learning, or AI solution development.
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 * 3+ years of hands-on experience delivering AI/ML or Generative AI solutions.
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 * Strong programming skills in Python.
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 * Strong understanding of Large Language Models, transformer architectures, embeddings, tokens, context windows, and inference.
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 * Hands-on experience with RAG architectures and LLM application development.
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 * Experience with prompt engineering, model evaluation, and AI response optimization.
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 * Experience working with vector databases and semantic search.
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 * Strong knowledge of REST APIs, microservices, and cloud-native application development.
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 * Experience with AI/ML frameworks and libraries such as LangChain, LlamaIndex, Hugging Face, PyTorch, or TensorFlow.
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 * Experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud.
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 * Good understanding of databases, data pipelines, unstructured data, and knowledge management.
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 * Familiarity with CI/CD, Docker, Kubernetes, monitoring, and MLOps practices.
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 * Strong knowledge of software architecture, design patterns, scalability, and performance optimization.
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 * Excellent analytical, communication, leadership, and stakeholder-management skills.
\n, * Experience with Azure OpenAI, Amazon Bedrock, Google Vertex AI, or similar managed GenAI platforms.
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 * Experience building AI agents and multi-agent systems.
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 * Knowledge of function calling, tool use, workflow orchestration, and agent memory.
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 * Experience with multimodal AI involving text, images, audio, or video.
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 * Knowledge of fine-tuning techniques such as LoRA, PEFT, and supervised fine-tuning.
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 * Experience with LLM observability and evaluation tools such as LangSmith, Arize, TruLens, MLflow, or equivalent.
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 * Familiarity with responsible AI, explainability, fairness, privacy, and AI governance frameworks.
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 * Experience implementing security controls for prompt injection, data leakage, jailbreaks, and malicious inputs.
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 * Experience with enterprise search, knowledge graphs, OCR, document intelligence, or NLP.
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 * Relevant cloud, AI, or machine learning certifications.
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## Description

The GenAI Lead will work closely with business, product, engineering, data, and security teams to identify high-value AI use cases and deliver scalable, secure, responsible, and measurable GenAI solutions.