Xerago is looking for AI Engineer with 1+ years of experience to join our growing AI Engineering team. You will play a key role in developing end-to-end AI-powered applications leveraging LLMs, agentic AI frameworks, and orchestration pipelines. This is an onsite role based in Chennai, ideal for engineers passionate about building real-world AI systems that deliver business value.

Roles & Responsibilities :

- Design, develop, and deploy AI-powered applications using LLMs, LangChain, and CrewAI.

- Build and orchestrate agentic workflows and RAG pipelines integrated with vector databases.

- Implement LLMOps practices to monitor, version, evaluate, and retrain LLM components in production.

- Integrate AI models (proprietary and open-source) into backend services and APIs with life-cycle management.

- Deploy AI components via containerized environments with CI/CD (Docker, Jenkins).

- Collaborate with cross-functional teams to ensure seamless front-end integration.

- Follow Agile development practices and mentor junior engineers where needed.

Qualifications :

- 1+ years of hands-on experience in AI/ML engineering and Python development.

- Proven experience in operationalizing LLMs including fine-tuning, evaluation, deployment, and monitoring.

- Familiarity with LLMOps platforms (e.g., MLflow, Weights & Biases, PromptLayer, Trulens) for versioning, logging, and performance tracking.

- Strong understanding of LLM integration, vector DBs, and agentic frameworks like CrewAI, LangGraph, Autogen and smolagents.

- Experience deploying AI APIs and pipelines with Docker and Jenkins.

- Familiarity with Git, Agile methodologies, and modern frontend tech (React/Angular).

- Bachelor's in Computer Science or related field (Master's preferred).

Tech Stack & Tooling :

- Languages & Frameworks: Python, LangChain, CrewAI, React, Angular

- LLMs & Tools: OpenAI, Gemini, HuggingFace, Ollama

- RAG & Embedding: SentenceTransformers, BGE, E5, LlamaIndex, Haystack

- Vector Databases: FAISS, Pinecone, Weaviate, Chroma

- LLMOps & MLOps: MLflow, PromptLayer, Trulens, Weights & Biases, LangSmith

- Containerization & CI/CD: Docker, Kubernetes, Jenkins, GitHub Actions

- Cloud & Observability: AWS/GCP/Azure, Prometheus, Grafana, Sentry

- Practices: Agile, Prompt Engineering, Role-based access control, Content Filtering