Gen Ai Engineer

Position: Gen AI Engineer / Jr. Consultant Location: Remote Type: Full-time / Onsite (or specify if hybrid/remote) Job Summary: We are seeking a Gen AI Engineer / Junior Consultant with hands-on experience in building, deploying, and optimizing Generative AI solutions. The ideal candidate will possess strong expertise in LLMs, RAG frameworks, LangChain, and Vector Databases , along with proficiency in cloud platforms (AWS, GCP, or Azure) . You will be responsible for developing AI-driven applications, integrating APIs, and enabling intelligent automation using advanced prompt engineering and agentic AI capabilities. Key Responsibilities: Design, develop, and deploy Generative AI applications leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks. Implement LangChain pipelines and integrate Vector Databases (e.G., FAISS, Pinecone, Chroma, or Milvus) for efficient context retrieval. Build, test, and optimize AI agents using Agentic AI frameworks. Work with cloud environments (AWS / GCP / Azure) to host and scale AI services. Develop APIs and backend systems using Python and SQL for data management and interaction with AI services. Apply prompt engineering techniques to enhance model output accuracy and consistency. Collaborate with cross-functional teams to design end-to-end AI solutions for real-world business problems. Stay current with emerging trends in Generative AI and contribute to PoCs and AI model evaluations. Required Skills & Experience: Strong understanding of Generative AI , LLMs , and RAG architecture . Hands-on experience with LangChain and Vector Databases (e.G., FAISS, Pinecone, Chroma). Proficiency in Python , SQL , and developing RESTful APIs . Practical experience with at least one cloud platform (AWS / GCP / Azure). Knowledge of Prompt Engineering and Agentic AI frameworks . Familiarity with data preprocessing, model evaluation, and deployment pipelines. Excellent problem-solving skills and the ability to work in a fast-paced environment. Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field. Experience in developing PoCs or production-grade AI applications. Familiarity with OpenAI, Anthropic, Google Vertex AI, or Azure OpenAI APIs .