- Design, develop, and deploy AI-powered applications and intelligent agents.

- Leverage prompt engineering techniques to optimize interactions with large language models (LLMs).

- Implement and integrate data pipelines and backend systems using Python and modern frameworks.

- Work with Kafka, MongoDB, and other databases to handle high-volume data processing and storage.

- Collaborate with product, data science, and engineering teams to design scalable AI architectures.

- Optimize model performance, latency, and scalability in distributed and cloud environments.

- Ensure robust testing, monitoring, and performance tuning for deployed AI applications.

- Stay updated with emerging trends in AI, LLMs, and autonomous agent frameworks (e.g., LangChain, OpenAI API, AutoGen).

Required Skills & Experience :

- 4- 6 years of professional experience in software engineering or AI development.

- Strong expertise in Python (Flask/FastAPI, asyncio, multiprocessing).

- Proficiency in prompt engineering and fine-tuning large language models (LLMs).

- Hands-on experience with databases (MongoDB, PostgreSQL, etc.).

- Familiarity with Kafka or similar event-streaming technologies.

- Understanding of distributed systems and microservices architecture.

- Experience in building or integrating AI agents (LangChain, AutoGPT, etc.) is a strong plus.

- Exposure to cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).

Preferred Qualifications :

- Bachelors or Masters degree in Computer Science, AI/ML, or related field.

- Experience with vector databases, LLM orchestration frameworks, or generative AI APIs.

- Familiarity with CI/CD pipelines, GitOps, and MLOps practices.

- Strong analytical, problem-solving, and communication skills