Job Title : AI Specialist

Job Location : Chennai

Experience : 6-8 years

Notice Period : Immediate to 15days only

Mode of work : Hybrid

Job Description :

Key Responsibilities :

Technical Leadership :

- Lead design, architecture, and development of AI-driven applications using GenAI and Agentic AI frameworks.

- Mentor and guide a team of developers, ensuring high-quality code and best practices.

- Collaborate with product managers, data scientists, and stakeholders to define technical roadmaps.

AI/ML Development :

- Design, develop, and implement ML/DL models for predictive analytics, NLP, computer vision, and generative AI use cases.

- AI/ML Frameworks : TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers

- Build and integrate LLMs, GenAI models, and agent-based AI workflows into enterprise solutions.

- Fine-tune, prompt-engineer, and optimize LLMs (OpenAI, Anthropic, Llama, etc.) for business use cases.

- Design and implement multi-agent orchestration systems for intelligent automation.

Full-stack Development :

- Develop scalable web applications using React.js / Angular / Vue.js (frontend) and Python (Django / Flask / FastAPI / Node.js) (backend).

- Integrate AI/ML APIs, microservices, and databases (SQL & NoSQL).

- Ensure security, scalability, and performance of deployed applications.

Cloud & MLOps :

- Deploy and manage AI applications on AWS / Azure / GCP.

- Implement CI/CD, containerization (Docker, Kubernetes), and model deployment pipelines.

- Monitor and optimize model performance in production.

Required Skills & Experience :

- 6 to 8 years of experience in Fullstack Development & AI/ML Engineering.

- Strong expertise in Python and one backend framework (Flask, FastAPI, Django).

- Hands-on experience with GenAI frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.).

- Experience in Agentic AI development (multi-agent orchestration, reasoning engines, autonomous agents).

- Proficiency in Frontend frameworks (React.js preferred).

- Strong knowledge of databases (MySQL, MongoDB, PostgreSQL).

- Cloud deployment experience (AWS, Azure, or GCP).

- Familiarity with vector databases (Pinecone, Weaviate, FAISS, ChromaDB).

- Experience with APIs, microservices, and event-driven architectures.

- Proven experience in leading teams, code reviews, and technical decision-making.

- Familiarity working with healthcare domain would be an added advantage