AI Engineer

Keywords Studios

. Design, develop, and deploy advanced AI solutions focused on generative capabilities and conversational AI.

Posted 9/25/2026full-timeRemote • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying advanced AI solutions, particularly in generative capabilities and conversational AI, while leveraging modern frameworks and machine learning algorithms. Proficient in building scalable AI pipelines and optimizing model performance to meet business needs.

Highest-signal resume keywords

Python ProficiencyLLM Implementation ExperienceRESTful API DevelopmentAI Agentic Frameworks KnowledgeMachine Learning Model Fine-Tuning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningGenerative AITransformersTensorFlowPyTorchFastAPIFlaskLLMOpsPrompt Engineering

Soft Skills

Problem-SolvingAnalytical MindsetCommunicationCollaborationTeamwork

Tools & Technologies

Google AI SDKOpenAI SDKLangChainLlamaIndexSupabaseN8NAWSAzureGCPVLLM

Industry Keywords

Generative AIConversational AIAI PipelinesModel Context ProtocolRAG PipelinesDomain-Specific LLM Fine-TuningMultimodal LearningContainerizationCI/CDPublications

Tech Stack

Tools & technologies

AWSAzureFlaskGoogle Cloud PlatformPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Design, develop, and deploy advanced AI solutions focused on generative capabilities and conversational AI.
Build context-aware, autonomous AI agents using modern frameworks to solve complex business logic and automate workflows.
Collaborate with data engineers to preprocess and curate large datasets for training and testing models.
Experiment with state-of-the-art machine learning algorithms and fine-tune foundation models for production.
Build and deploy scalable, production-ready AI pipelines.
Analyze and optimize AI model performance to meet business requirements.
Stay updated with advancements in GenAI, LLMs, and agentic systems, and propose innovative product solutions.

Requirements

What you’ll need

Bachelor's or Master's degree or PhD in Computer Science, Data Science, or a related field.
3 to 6 years of professional experience in building ML/AI models with a focus on modern LLM implementations.
Strong proficiency in Python and experience with advanced AI/LLM ecosystem libraries, including transformers, vLLM, accelerate, PEFT/LoRA, or DSPy.
Experience building and deploying RESTful APIs using FastAPI or Flask to serve AI models in production.
Strong expertise building applications using LLMs such as Gemini, GPT-4, or Claude.
Experience with orchestration frameworks such as LangChain or LlamaIndex.
Hands-on experience with Google AI SDK, OpenAI SDK, and N8N.
Deep understanding of AI agentic frameworks such as LangGraph, AutoGen, or CrewAI.
Familiarity with vector databases, RAG pipelines, and platforms such as Supabase.
Knowledge of the Model Context Protocol (MCP).
Experience developing and fine-tuning deep learning models using TensorFlow or PyTorch.
Knowledge of AWS, Azure, or GCP for deploying ML models.
Strong problem-solving abilities and analytical mindset.
Excellent communication skills.
Ability to work collaboratively in a team-oriented environment.
Preferred: advanced prompt engineering techniques, domain-specific LLM fine-tuning, multimodal learning, LLMOps/MLOps including containerization and CI/CD, and publications or open-source contributions.

Benefits

Comp & perks

Competitive salary and performance bonuses.
Opportunity to work on exciting, cutting-edge projects.
Flexible working hours and a collaborative environment.
Professional growth opportunities through training and mentorship.
Health insurance.
Learning budgets.
Disconnect Week during Christmas to new year.