Artificial Intelligence Engineer

At Communication Crafts, we are a fusion of creativity and technology, delivering innovative solutions that drive businesses forward. With a strong foundation in cutting-edge technology, we combine our technical expertise with a creative mindset to solve complex challenges and deliver exceptional results. We offer services like digital product development, custom software development, mobile application development, API integration, Frontend development and web application development. Functioning from a sprawling 28,000 sq. ft. office on Sindhu Bhavan Road, Ahmedabad, our team of 220+ creative, technical and support professionals are handpicked and moulded as per CC culture code. Established in 2005, almost 20 years since then, Communication Crafts caters to an enviable clientele across sectors and geographies. To know more about the company please visit https://communicationcrafts.com/?cc=com

Summary:

We are seeking an experienced AI Engineer with 4 to 5 years of experience to join our team. The ideal candidate will have a strong background in artificial intelligence and machine learning technologies, as well as a proven track record of developing innovative solutions.

Roles and Responsibilities:

- Design and develop AI algorithms and models to solve complex business problems

- Implement and optimize machine learning algorithms for real-time applications

- Collaborate with cross-functional teams to integrate AI solutions into existing systems

- Conduct research and stay up-to-date on the latest advancements in AI technology

- Provide technical guidance and mentorship to junior team members

- Participate in code reviews and contribute to the overall software development process

Qualifications:

- Bachelor's degree in Computer Science, Engineering, or related field

- 4 to 5 years of experience in AI development

- Strong programming skills in languages such as Python, Java, or C++

- Experience working with Langchain, LangGraph, and vector databases (e.g., Pinecone, ChromaDB, FAISS).

- Hands-on experience with Hugging Face ecosystem including transformers etc.

- Proficiency in model serving and deployment, using tools like FastAPI, Hugging Face Inference Endpoints, or AWS SageMaker for scalable and production-grade AI applications.

- Strong understanding of prompt engineering, retrieval-augmented generation (RAG), and tokenization/token-level optimization.

- Proven experience with fine-tuning and deploying LLMs (e.g., LLaMA, Mistral, Falcon, OpenAI, or Hugging Face Transformers).

-Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn

- Knowledge of cloud computing platforms such as AWS or Azure

- Excellent problem-solving and analytical skills

- Strong communication and teamwork abilities