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 .