Senior Specialist - AI Engineer

LTM; Mumbai; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

LTM is seeking an experienced AI Engineer to design, develop and deploy scalable AI solutions using machine learning, generative AI and large language models. You will translate business requirements into production-ready AI apps with a focus on performance, security and reliability.

You will design, build and optimize LLM-driven systems, RAG pipelines and vector databases, integrate with enterprise apps via REST APIs, and collaborate across data engineers, scientists and product teams to

Qualifications

• Bachelor's or Master's degree in CS/AI/ML or related field.
• Hands-on experience with LLMs and ML frameworks.
• Experience with MLOps and cloud platforms.

Responsibilities

• Design, develop, test and deploy AIML and Generative AI solutions.
• Develop applications using LLMs, RAG, embeddings and vector databases.
• Build data preprocessing, feature engineering, model training and inference pipelines.

Skills

Python

Machine Learning

NLP

Generative AI

LLMs

Prompt engineering

REST APIs

MLOps

Cloud platforms

Education

Bachelor's or Master's in CS/AI/ML

Tools

Azure OpenAI

LangChain

LlamaIndex

PyTorch

TensorFlow

Pinecone

Weaviate

Job description

Job Description:

Role AI Engineer

Experience

3-7 years, Employment Type- Fulltime Location As per business requirement

Role Summary

We are looking for an experienced AI Engineer to design develop and deploy scalable AI solutions using Machine Learning Generative AI and Large Language Models LLMs. The role will focus on translating business requirements into productionready AI applications while ensuring performance scalability security and reliability

Key Responsibilities

Design develop test and deploy AIML and Generative AI solutionsDevelop applications using LLMs RetrievalAugmented Generation RAG embeddings and vector databases, Build and optimize machine learning and deep learning models for realworld business use cases, Design effective prompt engineering and LLM orchestration workflows, Integrate AI models with enterprise applications through REST APIs and microservices, Build data preprocessing feature engineering model training evaluation and inference pipelines, Implement RAG pipelines using enterprise documents and structuredunstructured data, Evaluate AI solutions for accuracy relevance latency reliability and hallucination risks, Implement MLOpsLLMOps practices for model deployment monitoring versioning and continuous improvement, Collaborate with Data Engineers Data Scientists Architects Product Owners and business stakeholders, Follow responsible AI security privacy and governance practices throughout the AI solution lifecycle

Mandatory Technical Skills

Strong programming experience in PythonSolid understanding of Machine Learning Deep Learning NLP and Generative AI. Handson experience with LLMs and frameworks such as Azure OpenAI OpenAI APIs Hugging Face LangChain or LlamaIndex, Experience implementing RAG embeddings semantic search and vector databases, Familiarity with vector platformsdatabases such as Azure AI Search Pinecone Weaviate FAISS or Chroma, Experience with ML frameworks such as PyTorch TensorFlow or scikitlearnGood understanding of prompt engineering model evaluation and LLM optimization techniques, Experience developing and integrating REST APIs, Knowledge of Git Docker CICD and MLOps practices, Hands‑on experience with at least one major cloud platform Microsoft Azure AWS or Google Cloud

Preferred Skills

Experience building AI agents agentic AI workflowsKnowledge of finetuning and parameterefficient tuning techniques, Experience with Azure AI Foundry Azure Machine Learning Amazon Bedrock or Google Vertex AI, Understanding of AI security responsible AI governance and data privacy, Experience deploying AI applications in enterprise production environments, Knowledge of SQL and working with structured and unstructured enterprise datasets

Qualifications

Bachelors or Masters degree in Computer Science Artificial Intelligence Machine Learning Data Science Engineering or a related discipline

Relevant AIMLcloud certifications are an added advantage

Key Competencies

Strong analytical and problemsolving skills, Ability to translate business problems into practical AI solutions, Strong communication and stakeholdermanagement skills, Ability to work effectively in crossfunctional and Agile teamsShort RR Hiring Version

AI Engineer 3-7 Years Strong handson experience in Python MLDL Generative AI LLMs RAG prompt engineering embeddings vector databases REST APIs and MLOps, Experience with Azure OpenAIAzure AI AWS Bedrock or Google Vertex AI and frameworks such as LangChainLlamaIndex PyTorchTensorFlow preferred.

Candidate should have experience building and deploying scalable productiongrade AI solutions