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 .