Senior Software Engineer

Globallogic; Dadri; Hybrid; INR 1,800,000 - 3,200,000; Full time

Benefits offered by this job

Flexible schedule

Remote options

Paid time off

Job summary

GlobalLogic seeks a Sr AI/ML Developer to design and build intelligent agent systems and LLM-based applications within enterprise software. You will contribute to multi-agent orchestration, RAG pipelines, and AI-driven processes across industries.

You will work on integrating LLMs with enterprise applications, deploying models in dev to production, and collaborating with stakeholders on AI capabilities and risks. A CS/AI/ML background is required and hands-on Python skills are essential.

Qualifications

• 8-10 years of software engineering experience.
• Senior AI/ML developer with at least 1 production-grade agentic AI system.
• Hands-on with cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI).
• Experience with Python AI/ML frameworks and external system integration.

Responsibilities

• 8-10 years over all experience in software engineering
• Hands-on experience working as Sr AI/ML 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 AI/ML 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 AI-related risks and reporting them
• Experience & Skills
• Proficient in developing, deploying, and orchestrating multi-agent 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 AI-driven processes
• Demonstrated proficiency in using AI frameworks like LangChain, LlamaIndex, and Hugging Face ecosystem
• Demonstrated proficiency with Python development and AI/ML libraries
• Demonstrated proficiency in JavaScript/TypeScript 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, AI/ML, or equivalent experience
• Technical Skills & Competencies

Skills

AI/ML Engineering

Python

LangChain

LLMs

Cloud AI services

Education

Bachelor's degree in CS/AI/ML

Tools

LangChain

LlamaIndex

Transformers

PyTorch

TensorFlow

Pinecone

Job description

Description

Join GlobalLogic, to be a valid part of the team working on a huge software project for the world-class company providing M2M / IoT 4G/5G modules e.g. to the automotive, healthcare and logistics industries. Through our engagement, we contribute to our customer in developing the end-user modules’ firmware, implementing new features, maintaining compatibility with the newest telecommunication and industry standards, as well as performing analysis and estimations of the customer requirements.

Requirements

#This position will design and build intelligent AI agent systems, LLM-based applications, and autonomous workflow solutions within the context of our enterprise applications. We are looking for a candidate to provide expertise in Large Language Models, multi-agent architectures, RAG systems, Python development, cloud AI services, and enterprise AI integration. This individual will have broad experience in developing and deploying agentic AI solutions that can autonomously perform complex business tasks.

Job Responsibilities

• 8-10 years over all experience in software engineering
• Hands-on experience working as Sr AI/ML 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 AI/ML 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 AI-related risks and reporting them
• Experience & Skills
• Proficient in developing, deploying, and orchestrating multi-agent 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 AI-driven processes
• Demonstrated proficiency in using AI frameworks like LangChain, LlamaIndex, and Hugging Face ecosystem
• Demonstrated proficiency with Python development and AI/ML libraries
• Demonstrated proficiency in JavaScript/TypeScript 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, AI/ML, 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
• JavaScript/TypeScript for AI integration
• Postman for API testing
• SQL/NoSQL 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 AI/ML 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!