Overview
On Site
Depends on Experience
Full Time
Skills
API
Agile
Amazon SageMaker
Amazon Web Services
Artificial Intelligence
Business Operations
Cloud Computing
Collaboration
Communication
Computer Science
Conflict Resolution
Customer Relationship Management (CRM)
Data Engineering
Data Governance
Docker
Enterprise Resource Planning
Evaluation
Flask
Frontend Development
Generative Artificial Intelligence (AI)
Good Clinical Practice
Google Cloud Platform
IT Service Management
Innovation
Kubernetes
LangChain
Large Language Models (LLMs)
LlamaIndex
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Microservices
Microsoft Azure
Orchestration
Privacy
Problem Solving
Prompt Engineering
Python
React.js
Scalability
Software Engineering
Use Cases
Vector Databases
Vertex
Workflow
Job Details
We are seeking a Generative AI Developer to design, build, and implement advanced AI solutions leveraging large language models (LLMs), multi-modal AI, and agentic frameworks. The ideal candidate will combine deep technical expertise in AI/ML with strong software engineering skills to create intelligent, scalable, and secure GenAI applications that transform business operations and customer experiences.
Key Responsibilities:-
- Model Development & Integration
- Fine-tune and customize foundation models (e.g., GPT, Claude, Gemini, Mistral, Llama) for enterprise use cases.
- Build generative pipelines for text, code, image, and multimodal AI applications.
- Develop and deploy agentic workflows leveraging frameworks such as LangChain, LlamaIndex, or custom orchestration layers.
- Solution Engineering
- Integrate GenAI capabilities into existing enterprise platforms (ERP, CRM, ITSM, etc.) through APIs and microservices.
- Develop retrieval-augmented generation (RAG) architectures using vector databases (e.g., Pinecone, FAISS, Milvus).
- Optimize inference performance, latency, and scalability on cloud and edge environments (AWS, Azure, Google Cloud Platform).
- Innovation & Research
- Evaluate and prototype emerging GenAI technologies, open-weight models, and agentic AI frameworks.
- Collaborate with data scientists, MLOps engineers, and domain experts to convert ideas into production-grade solutions.
- Governance & Compliance
- Ensure adherence to AI ethics, data privacy, and security standards.
- Implement guardrails, monitoring, and observability for responsible AI deployment.
Qualifications
Education:
- Bachelor s or Master s degree in Computer Science, AI/ML, Data Engineering, or related field.
Experience:
- 3 7 years of experience in AI/ML development, with at least 1 2 years in Generative AI projects.
- Proven experience with Python, PyTorch/TensorFlow, transformers, and LangChain or similar frameworks.
- Experience deploying LLM-based solutions using RAG, vector databases, and prompt engineering.
- Familiarity with containerized environments (Docker/Kubernetes) and MLOps tools (MLflow, Vertex AI, SageMaker, or Azure AI Studio).
Preferred Skills
- Experience of agentic AI frameworks and multi-agent architectures.
- Experience in API integration, front-end development (React, Streamlit, or Flask) for AI applications.
- Understanding of cloud-native AI services (e.g., Azure OpenAI, Amazon Bedrock, Google Gemini).
- Strong grasp of data governance, AI ethics, and model evaluation metrics.
Soft Skills
- Creative problem-solving and curiosity for emerging AI paradigms.
- Strong communication skills to translate complex AI concepts into business value.
- Collaborative mindset with experience working in cross-functional agile teams
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.