AI Engineer

About

Client is seeking a highly skilled AI Engineer with 8–10 years of experience in application development or systems analysis. This is a unique opportunity to work on cutting-edge Generative AI and LLM-based solutions in a dynamic, collaborative environment.

Key Responsibilities

• Design, build, and deploy LLM-based applications using platforms like Vertex AI and Hugging Face.
• Implement advanced RAG pipelines and reusable prompt engineering strategies.
• Work with leading LLMs including Google Gemini, OpenAI, Anthropic Claude, Mistral, Llama, and open-source models.
• Develop solutions leveraging Python and libraries such as Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Transformers, FastAPI, LangChain, and LlamaIndex.
• Integrate GenAI into enterprise applications using APIs, knowledge graphs, and orchestration tools.
• Manage vector databases (PG Vector, Pinecone, Mongo Atlas, Neo4j) for efficient data storage and retrieval.
• Deploy GenAI models into production with strong MLOps practices, CI/CD pipelines, and container orchestration (Kubernetes/OpenShift).
• Collaborate with cross-functional teams to solve complex, ambiguous problems.

Required Skills & Expertise

• Strong foundation in GenAI, ML modeling, NLP, Neural Networks, LLMs, and Data Science.
• Hands-on experience with agentic frameworks and guardrails for safe AI deployment.
• Proven ability to handle large-scale unstructured data and high-throughput processing.
• Expertise in cloud-native deployments and scaling containerized applications.
• Excellent problem-solving, communication, and collaboration skills.