AI Integration Engineer
Location: Baner, Pune (Hybrid)
Experience: 6+ Years
About the Role
We are looking for an experienced AI Integration Engineer to design, develop, and deploy AI/ML solutions for enterprise applications. The ideal candidate should have strong expertise in machine learning, Generative AI, LLMs, and production-grade AI deployments, with the ability to integrate intelligent capabilities into business workflows and scalable systems.
Responsibilities
- Design, develop, and deploy AI/ML and Generative AI solutions for real-world business use cases.
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines and LLM-powered applications.
- Integrate AI models and intelligent services into enterprise applications and workflows.
- Develop and optimize data pipelines for AI model training and inference.
- Work with embeddings, vector search, and semantic retrieval systems.
- Implement prompt engineering strategies and LLM evaluation techniques.
- Deploy and monitor AI/ML models in production environments.
- Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
- Improve model performance, scalability, reliability, and inference efficiency.
- Ensure best practices for AI deployment, monitoring, and continuous improvement.
Required Skills
- 6+ years of experience in AI/ML engineering or related domains.
- Strong programming experience in Python.
- Hands-on experience with Machine Learning and Deep Learning frameworks.
- Experience working with Large Language Models (LLMs) and Generative AI applications.
- Strong understanding of NLP, embeddings, and vector search concepts.
- Experience with RAG architectures and AI model integration.
- Knowledge of model deployment and production AI workflows.
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Strong understanding of REST APIs and AI service integration.
- Experience with SQL and NoSQL databases.
Nice to Have
- Experience with LangChain or LlamaIndex.
- Experience with OpenAI, Anthropic Claude, or Amazon Bedrock.
- Knowledge of vector databases such as Pinecone, FAISS, Weaviate, or OpenSearch.
- Familiarity with MLOps practices and CI/CD pipelines.
- Experience with Docker and Kubernetes.
- Exposure to model fine-tuning and inference optimization.
Preferred Qualifications
- Experience building production-grade AI/ML solutions at scale.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to work in a fast-paced, innovation-driven environment.
Pay: ₹2,500,000.00 - ₹3,500,000.00 per year
Application Question(s):
- What is your Current and Expected CTC?
- What is the status of your Notice?
Experience:
- Machine learning: 4 years (Preferred)
- Gen AI: 2 years (Preferred)
Work Location: Hybrid remote in Pune, Maharashtra (Pune, Pune District)
