Senior AI/ML Engineer

Space Inventive, Inc; Hyderabad; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Space Inventive, Inc. seeks a Senior AI/ML Engineer to design, develop, and deploy GenAI-based solutions, leveraging AWS Bedrock and modern LLMs. You will collaborate with data scientists, product teams, and cloud engineers to build scalable AI applications and intelligent automation.

The role requires 4+ years of experience in ML/AI, strong Python skills, and hands-on GenAI expertise. You will work on retrieval-augmented generation, vector embeddings, and cloud-native architectures to deliver

Qualifications

• 4+ years of ML/AI or data science experience.
• Hands-on GenAI/LLM development experience.
• Proficient in Python.
• Experience with AWS Bedrock and AWS AI/ML services.
• Experience with prompts, RAG, embeddings, and vector databases.
• Familiar with LangChain, LlamaIndex, or similar GenAI frameworks.
• Solid knowledge of NLP concepts and model evaluation.

Responsibilities

• Design, develop, and deploy AI/ML solutions using GenAI technologies.
• Build GenAI applications using Amazon Bedrock and foundation models (Claude, Llama, Titan, etc.).
• Develop Retrieval-Augmented Generation (RAG) architectures for enterprise AI use cases.
• Fine-tune, evaluate, and optimize Large Language Models (LLMs).
• Create scalable AI services and APIs using Python and cloud-native architectures.
• Develop data pipelines for AI model training, inference, and monitoring.
• Integrate vector databases and embedding models for semantic search and knowledge retrieval.
• Collaborate with cross-functional teams to translate business requirements into AI solutions.
• Implement MLOps best practices, model versioning, monitoring, and deployment automation.
• Ensure security, governance, and responsible AI practices in production environments.
• Stay updated with advancements in AI, LLMs, GenAI frameworks, and AWS services.

Skills

Generative AI

LLMs

Prompt engineering

RAG

Embeddings

Vector databases

Python programming

ML lifecycle management

Tools

AWS Bedrock

SageMaker

FAISS

ChromaDB

Weaviate

OpenSearch

Job description

Job Role: Senior AI/ML Engineer (Agentic AI & AWS Bedrock)

Experience: 4+ Years

About the role:

We are seeking a highly skilled Senior AI/ML Engineer with hands-on experience in Generative AI, Large Language Models (LLMs), AWS Bedrock, and Machine Learning Engineering. The ideal candidate will be responsible for designing, developing, and deploying AI-driven solutions leveraging cutting-edge GenAI technologies and AWS cloud services. You will work closely with data scientists, product teams, and cloud engineers to build scalable AI applications and intelligent automation solutions.

Key Responsibilities

• Design, develop, and deploy AI/ML solutions using modern machine learning and Generative AI technologies.


• Build and implement GenAI applications using Amazon Bedrock, foundation models (Claude, Llama, Titan, etc.), and prompt engineering techniques.


• Develop Retrieval-Augmented Generation (RAG) architectures for enterprise AI use cases.


• Fine-tune, evaluate, and optimize Large Language Models (LLMs).


• Create scalable AI services and APIs using Python and cloud-native architectures.


• Develop data pipelines for AI model training, inference, and monitoring.


• Integrate vector databases and embedding models for semantic search and knowledge retrieval.


• Collaborate with cross-functional teams to translate business requirements into AI solutions.


• Implement MLOps best practices, model versioning, monitoring, and deployment automation.


• Ensure security, governance, and responsible AI practices in production environments.


• Stay updated with advancements in AI, LLMs, GenAI frameworks, and AWS services.

Required Skills & Experience

• 4+ Years of experience in Machine Learning, Artificial Intelligence, or Data Science projects.


• Hands-on experience in Generative AI/LLM-based application development.


• Strong programming skills in Python.


• Hands-on experience with AWS Bedrock and AWS AI/ML services.


• Experience in Prompt Engineering, RAG, embeddings, and vector databases.


• Strong understanding of LLMs, Foundation Models, Transformers, and NLP concepts.


• Experience with LangChain, LangGraph, LlamaIndex, AWS Strands, or similar GenAI frameworks.


• Knowledge of PyTorch, TensorFlow, Scikit-learn.


• Experience with AWS Lambda, ECS/EKS, S3, API Gateway, SageMaker, CloudWatch.


• Familiarity with vector databases such as FAISS, ChromaDB, Weaviate, or OpenSearch.


• Experience building REST APIs using FastAPI or Flask.


• Strong understanding of model evaluation, performance optimization, and ML lifecycle management.