Posted on: 29/10/2025
Job Description :
Role : AI Engineer
- The ideal candidate will have hands-on experience in Python, Large Language Models (LLMs), and Generative AI applications, with strong knowledge of LLM fine-tuning and integrations.
- You will work on cutting-edge AI solutions, enabling enterprises to adopt and scale GenAI use cases effectively.
- This role is with a service-based company, so flexibility, adaptability, and client-handling skills are essential.
Key Responsibilities :
- Design, develop, and deploy Generative AI applications using LLMs such as OpenAI, Gemini, Anthropic, etc.
- Implement LLM fine-tuning and prompt engineering for client-specific use cases.
- Build end-to-end AI pipelines including data preprocessing, model training, evaluation, and deployment.
- Integrate LLMs with third-party systems, APIs, and enterprise workflows.
- Collaborate with cross-functional teams (Product, Engineering, Clients) to understand requirements and deliver AI-driven solutions.
- Stay updated with the latest advancements in GenAI, ML, and LLM frameworks.
Required Skills & Experience :
- 2+ years of experience in AI/ML engineering with a focus on LLM development and integration.
- Strong expertise in Python (NumPy, Pandas, PyTorch/TensorFlow preferred).
- Experience with OpenAI, Google Gemini, or similar LLM platforms.
- Hands-on with LLM fine-tuning, embeddings, and vector databases (e.g., Pinecone, FAISS, Weaviate).
- Experience in building GenAI applications, APIs, and chatbots.
- Understanding of MLOps, deployment on cloud (AWS/GCP/Azure) is a plus.
- Ability to work in a remote, service-company environment with multiple clients/projects.
What We Offer :
- Flexible remote work environment. Exposure to multiple industries and diverse AI projects. Growth opportunities in Generative AI and enterprise AI consulting.
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