Description
AI Engineer
Requirements
8-10 years over all experience in software engineering
Hands-on experience working as Sr AIML Developer with at least 1 complete production grade agentic AI system implementation
Hands-on experience with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI)
Hands-on experience with Python AIML frameworks (LangChain, LlamaIndex, Transformers, PyTorch)
Hands-on experience integrating LLMs with external systems and enterprise applications
Experience working with vector databases, knowledge graphs, and RAG pipeline development
Advising on best practices for AI agent development and enterprise AI integration processes
Experience in deploying AI models and agents in multiple environments (dev, staging, production)
Experience managing stakeholder communication regarding AI capabilities, limitations, and project timelines, including managing expectations, foreseeing AIrelated risks and reporting them
Sounds like you To apply you need to be:
Experience & Skills
Proficient in developing, deploying, and orchestrating multiagent AI systems
Demonstrated proficiency in LLM fine-tuning, prompt engineering, and model optimization
Demonstrated proficiency in designing and implementing RAG (Retrieval-Augmented Generation) systems
Demonstrated proficiency in understanding and implementing autonomous business workflows and AIdriven processes
Demonstrated proficiency in using AI frameworks like LangChain, LlamaIndex, and Hugging Face ecosystem
Demonstrated proficiency with Python development and AIML libraries
Demonstrated proficiency in JavaScriptTypeScript for AI frontend integration
Ability to perform AI model performance tuning and optimization in production environments
Familiarity with MLOps tools and practices
Experience in building conversational AI interfaces, chatbots, and AI-powered applications
Experience with API development for AI services and webhook management
Experience with cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Cloud AI)
Experience in AI agent orchestration, planning algorithms, and decision-making frameworks
Creating and maintaining vector databases and knowledge management systems
Experience producing AI system architecture and technical design documentation
Must have college degree in Computer Science, AIML, or equivalent experience
Technical Skills & Competencies
Python, FastAPI, Flask
LangChain, LlamaIndex, Transformers library
OpenAI API, Azure OpenAI, Anthropic Claude
Vector databases (Pinecone, Weaviate, ChromaDB)
Git, Docker, Kubernetes
JavaScriptTypeScript for AI integration
Postman for API testing
SQLNoSQL databases for AI data management
Sound knowledge in cloud AI services and MLOps
AI model performance monitoring and optimization
Prompt engineering and AI safety practices
Uses best practices and knowledge of AIML methodologies to improve products and services through intelligent automation. Solves complex business problems by designing novel AI agent solutions that combine existing technologies in innovative ways.
Job responsibilities
8-10 years over all experience in software engineering
Hands-on experience working as Sr AIML Developer with at least 1 complete production grade agentic AI system implementation
Hands-on experience with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI)
Hands-on experience with Python AIML frameworks (LangChain, LlamaIndex, Transformers, PyTorch)
Hands-on experience integrating LLMs with external systems and enterprise applications
Experience working with vector databases, knowledge graphs, and RAG pipeline development
Advising on best practices for AI agent development and enterprise AI integration processes
Experience in deploying AI models and agents in multiple environments (dev, staging, production)
Experience managing stakeholder communication regarding AI capabilities, limitations, and project timelines, including managing expectations, foreseeing AIrelated risks and reporting them
Sounds like you To apply you need to be:
Experience & Skills
Proficient in developing, deploying, and orchestrating multiagent AI systems
Demonstrated proficiency in LLM fine-tuning, prompt engineering, and model optimization
Demonstrated proficiency in designing and implementing RAG (Retrieval-Augmented Generation) systems
Demonstrated proficiency in understanding and implementing autonomous business workflows and AIdriven processes
Demonstrated proficiency in using AI frameworks like LangChain, LlamaIndex, and Hugging Face ecosystem
Demonstrated proficiency with Python development and AIML libraries
Demonstrated proficiency in JavaScriptTypeScript for AI frontend integration
Ability to perform AI model performance tuning and optimization in production environments
Familiarity with MLOps tools and practices
Experience in building conversational AI interfaces, chatbots, and AI-powered applications
Experience with API development for AI services and webhook management
Experience with cloud AI platforms (Azure OpenAI, AWS Bedrock, Google Cloud AI)
Experience in AI agent orchestration, planning algorithms, and decision-making frameworks
Creating and maintaining vector databases and knowledge management systems
Experience producing AI system architecture and technical design documentation
Must have college degree in Computer Science, AIML, or equivalent experience
Technical Skills & Competencies
Python, FastAPI, Flask
LangChain, LlamaIndex, Transformers library
OpenAI API, Azure OpenAI, Anthropic Claude
Vector databases (Pinecone, Weaviate, ChromaDB)
Git, Docker, Kubernetes
JavaScriptTypeScript for AI integration
Postman for API testing
SQLNoSQL databases for AI data management
Sound knowledge in cloud AI services and MLOps
AI model performance monitoring and optimization
Prompt engineering and AI safety practices
Uses best practices and knowledge of AIML methodologies to improve products and services through intelligent automation. Solves complex business problems by designing novel AI agent solutions that combine existing technologies in innovative ways.
What we offer
Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!
About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
