AI Developer

Role & responsibilities

• Work on the design, development, and deployment of Generative AI models.

• Implement AI/ML models for text, image, and data generation tasks

• Fine-tune pre-trained models (e.g., GPT, Claude, LLaMA, Stable Diffusion, etc.) for business-specific needs.

• Integrate Generative AI solutions into web and enterprise applications.

• Collaborate with cross-functional teams to gather requirements and deliver AI-powered solutions.

• Conduct testing, optimization, and performance tuning of AI models.

• Document processes, workflows, and maintain project deliverables.

Preferred candidate profile

Required Skills & Tools:

• Programming Languages: Python (mandatory), basic knowledge of JavaScript/PHP (plus).

• Generative AI Frameworks: Hugging Face, LangChain, RAG (Retrieval Augmented Generation).

• ML/DL Libraries: TensorFlow, PyTorch, Keras.

• Generative Models: GPT, LLaMA, Stable Diffusion, DALL•E, MidJourney (experience in at least one).

• Cloud Platforms: Azure AI, Google Cloud Vertex AI, AWS Bedrock/OpenAI APIs.

• Databases: MySQL/PostgreSQL, Vector DBs (Pinecone, FAISS, Weaviate).

• Version Control: Git/GitHub.

• MLOps Tools (Good to have): MLflow, Docker, Kubernetes.

Soft Skills:

• Strong problem-solving ability and logical thinking.

• Good communication and documentation skills.

• Ability to work independently and in a team environment.

• Eagerness to learn and adapt to new AI trends.

Nice-to-Have:

• Experience with REST APIs and microservices.

• Exposure to prompt engineering and AI ethics/compliance.

Tools & Technologies Candidate Should Know (for Generative AI Project Development)

• Programming: Python (must), optionally JavaScript/PHP for integration.

• Generative AI Libraries: Hugging Face, LangChain, OpenAI API, LLaMA models.

• ML Frameworks: TensorFlow, PyTorch.

• Databases: SQL + Vector DB (Pinecone, FAISS).

• Cloud AI Services: Google Vertex AI, Azure AI, AWS Bedrock.

• MLOps Tools: MLflow, Docker, GitHub Actions.

• Integration Tools: REST APIs, FastAPI/Flask, Laravel backend for enterprise integration.

• Visualization: Power BI / Streamlit / Dash (optional for dashboards).