AI Engineer

Experience: 2-6 Years
Job Type: Full time

Job Description-

We are looking for a talented AI Engineer with 2-6 years of software engineering experience to design, develop, and deploy AI/ML and Generative AI solutions. The ideal candidate will have hands-on experience with Python, LLMs, RAG pipelines, APIs, vector databases, and cloud technologies, along with a strong interest in building scalable AI-powered applications.

You will work closely with product and engineering teams to develop production-ready AI solutions, integrate LLMs with enterprise applications and internal tools, and continuously improve the performance, reliability, latency, and cost of AI services.

Key Responsibilities-
- Design, develop, test, and deploy AI/ML and Generative AI applications.
- Build and maintain RAG (Retrieval-Augmented Generation) pipelines using embeddings, vector databases, and semantic search.
- Integrate LLMs with internal tools, APIs, databases, and enterprise applications.
- Develop scalable and production-ready backend services using Python and FastAPI.




- Work with LLMs such as OpenAI, Anthropic, Gemini, Llama, Qwen, or other open-source models.
- Develop and optimize prompts, AI workflows, and model evaluation frameworks.
- Implement techniques to improve AI application accuracy, performance, latency, reliability, and cost efficiency.
- Work with vector databases and technologies for embeddings, similarity search, and semantic retrieval.
- Develop and integrate REST APIs and backend services.
- Containerize and deploy AI services using Docker and contribute to deployment on Kubernetes environments.
- Work with cloud platforms such as AWS, Azure, or GCP.
- Use AI frameworks such as LangChain, LlamaIndex, or similar frameworks.
- Collaborate with senior engineers, product managers, and cross-functional teams to translate business requirements into effective AI solutions.
- Participate in testing, debugging, monitoring, and production support of AI services

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