AI Engineer

6 days ago


Gurgaon, Haryana, India Reliableteam Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Job Description :


Role : AI Engineer

Position : AI Engineer

Experience Required : 2 years

Location : Remote (Work from Home)

Availability : Immediate Joiner

About the Role We are seeking a passionate and skilled AI Engineer to join our growing team.

- 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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