Job Description
Job Description
Hello There,
My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of AI Developer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .
Job Description
Position : AI Developer
Location : Greenwich, CT Hybrid (Need local candidate)
Duration : 6+ Months
Interview : ONSITE INTERVIEW IS A MUST
Description
- The AI Developer will develop, and implement AI-based solutions that support clients digital and data initiatives. The role involves hands-on development using AWS services (such as Amazon Bedrock, SageMaker, Lambda, and S3) and AI technologies including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering.
- You will collaborate with data engineering and application development teams to build intelligent, scalable, and secure AI solutions integrated into enterprise systems
Key Responsibilities
- Develop and maintain AI and machine learning models using AWS Bedrock, SageMaker, and Python-based frameworks.
- Good to have experience on building AI Agents.
- Implement and optimize data pipelines, embeddings, and vector search integrations for RAG-based applications.
- Support deployment, monitoring, and lifecycle management of AI models following MLOps best practices.
- Work closely with cross-functional teams to integrate AI components into applications and workflows.
- Assist in evaluating and adopting emerging AI tools and frameworks to improve system performance.
- Maintain code quality, documentation, and adherence to security and scalability standards.
Qualifications
- Bachelor’s degree in Computer Science, Data Science, Engineering or related field.
- 3–5 years of experience in software or AI development.
- Proficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
- Hands-on experience with AWS cloud services (Bedrock, SageMaker, Lambda, API Gateway).
- Knowledge of LLMs, embeddings, and vector databases (Pinecone, FAISS, etc.).
- Understanding of SQL/NoSQL databases and data integration techniques.
- Strong problem-solving and communication skills.