Senior Artificial Intelligence Engineer - Python (8-10 yrs)

Senior Python / AI Engineer

Experience : 8+years.

Location : Remote.

Start date : Immediate.

Timing : upto midnight IST.

Note : Candidate should be willing to work from office (client office in Navi Mumbai) one week in a month. travelling they should take care , we will take care of hotel stay alone.

Job Description :

Overall Job Mission :

To design, develop, implement, and optimize AI-driven solutions by effectively leveraging and integrating existing Large Language Models and related technologies.

Outcomes (What does the person need to achieve?) :

- LLM Integration & Application Development : Successfully integrate existing LLMs (e., GPT, LLaMA, Mistral, Claude, Gemini) into Python-based applications to deliver AI-powered features. (e., Develop and deploy 3 applications with LLM-driven functionality within the first 6 months with a user satisfaction rating of 4.5/5).

- Prompt Engineering & Optimization : Design, implement, and rigorously test prompts to maximize the effectiveness and accuracy of existing LLMs for specific application requirements. (e., Improve the accuracy of LLM-driven features by 20% through prompt engineering best practices).

- AI Solution Optimization : Optimize the performance, efficiency, and scalability of AI solutions built with LLMs, focusing on factors like response time, cost-effectiveness, and resource utilization. (e., Reduce the average response time of LLM-based applications by 15% while maintaining accuracy).

- Data Handling & Retrieval : Implement effective data processing, including preprocessing and cleaning of text datasets, and utilize vector databases to enable efficient information retrieval for LLM applications. (e., Achieve a 90% success rate in retrieving relevant information from vector databases for LLM queries).

- Deployment & Scalability : Deploy and scale LLM-powered applications on cloud platforms to support a growing user base and ensure high availability. (e., Successfully scale LLM applications to handle a 50% increase in user traffic without performance degradation).

Competencies (How does the person need to behave?)

- LLM Application Expertise : Possesses strong skills in integrating and applying existing LLMs through APIs and libraries, with a focus on prompt engineering and application development.

- Python Development & AI Frameworks : Demonstrates proficiency in Python programming and AI/ML frameworks (Hugging Face, PyTorch, TensorFlow) for building and deploying LLM-based solutions.

- Problem Solving & Adaptability : Exhibits the ability to solve challenges related to LLM integration, optimize performance, and adapt to the evolving landscape of LLM technologies.

- Collaboration & Communication : Effectively communicates technical solutions and collaborates with cross-functional teams to deliver impactful AI applications.

- Results Orientation : Focuses on delivering functional, efficient, and scalable AI solutions that meet business needs and user expectations.

Required Skills & Experience :

Must-Have Hands-on Experience :

- Python programming with AI/ML frameworks (Hugging Face, PyTorch, TensorFlow).

- Hands-on experience working with LLMs and fine-tuning.

- Experience in prompt engineering and optimizing AI model outputs.

- Building APIs with FastAPI or Flask for AI model integration.

- Familiarity with vector databases and embedding models.

- Experience with LangChain, LlamaIndex, or Retrieval-Augmented Generation (RAG).

Nice to Have :

- Knowledge of quantization techniques (LoRA, GPTQ, vLLM, ONNX) for efficient model deployment.

- Experience working with knowledge graphs and reasoning-based AI.

- Background in MLOps for tracking and managing AI models.