AI Integration Engineer

Location : Pune (Hybrid)

Experience : 6+ Years

Employment Type : Full-Time

About the Role :

We are looking for an experienced AI Integration Engineer to join our team and build production-grade AI/ML solutions for enterprise applications. The ideal candidate should have strong expertise in Machine Learning, NLP, Large Language Models (LLMs), and Generative AI, with hands-on experience in deploying scalable AI systems and integrating them into business workflows.

Key Responsibilities :

- Design, develop, and deploy AI/ML and Generative AI solutions for enterprise use cases.

- Build and optimize Retrieval-Augmented Generation (RAG) pipelines and LLM-powered applications.

- Develop intelligent systems using embeddings, semantic search, and vector databases.

- Integrate AI capabilities into existing products and enterprise platforms.

- Deploy, monitor, and optimize ML models in production environments.

- Build scalable APIs and AI services for seamless application integration.

- Work with cloud platforms to deploy and manage AI workloads.

- Collaborate with product, engineering, and business teams to deliver AI-driven solutions.

- Improve model performance, inference latency, scalability, and reliability.

- Follow best practices for AI deployment, monitoring, and continuous improvement.

Required Skills :

- 6+ years of experience in AI/ML Engineering.

- Strong programming expertise in Python.

- Hands-on experience with Machine Learning and Deep Learning frameworks.

- Experience with Large Language Models (LLMs) and Generative AI applications.

- Strong understanding of NLP, embeddings, and semantic search.

- Experience building and deploying RAG-based solutions.

- Knowledge of model deployment and production AI systems.

- Experience with AWS, GCP, or Azure.

- Strong understanding of REST APIs and AI integrations.

- Experience with SQL and NoSQL databases.

Preferred Skills :

- Experience with LangChain or LlamaIndex.

- Hands-on experience with OpenAI, Anthropic Claude, or Amazon Bedrock.

- Experience with vector databases such as Pinecone, FAISS, Weaviate, or OpenSearch.

- Familiarity with Docker, Kubernetes, and MLOps practices.

- Experience with CI/CD pipelines and model monitoring.

- Exposure to model fine-tuning and inference optimization.

What We're Looking For :

- Strong problem-solving and analytical skills.

- Experience delivering production-grade AI solutions.

- Ability to work independently and collaboratively in a fast-paced environment.

- Excellent communication and stakeholder management skills.

- Passion for building scalable and impactful AI products.