Description Experience with GraphRAG and Knowledge Graphs

Exposure to MCP (Model Context Protocol)

Experience with Azure OpenAI, AWS Bedrock, or Vertex AI

Knowledge of MLOps, CI/CD, Docker, and Kubernetes

Exposure to fine-tuning and model evaluation frameworks

Experience integrating AI with enterprise tools such as Jira, Salesforce, ServiceNow, etc.

Robust architecture and stakeholder communication skills

Requirements Must Have Skills

6–10 years of overall software engineering / AI engineering experience

Strong experience in Generative AI and enterprise AI solution development

Experience deploying and maintaining AI solutions in production environments

Hands-on expertise in RAG architecture and semantic retrieval systems

Strong hands-on experience in Agentic AI, autonomous workflows, and multi-agent orchestration

Expertise in

LangChain

LangGraph

AutoGen

Semantic Kernel

Experience designing multi-agent workflows and AI orchestration systems

Strong understanding of

Embeddings

Vector Databases

Prompt Engineering

Tool/Function Calling

LLM optimization and cost management

AI evaluation, observability, and guardrails

Solid AI/ML and Machine Learning fundamentals

Solid Python programming and API integration skills

Experience deploying scalable AI applications in cloud environments

Job responsibilities

Design, develop, and deploy enterprise-grade GenAI applications

Build scalable RAG pipelines and intelligent retrieval systems

Design and implement multi-agent AI workflows and orchestration frameworks

Own end-to-end AI solution architecture and technical design decisions

Optimize LLM performance, latency, and token consumption costs

Integrate AI solutions with enterprise platforms, APIs, and data sources

Ensure scalability, security, observability, and production readiness of AI systems

Collaborate with architects, product teams, and stakeholders on AI initiatives

Mentor teams and drive AI engineering best practices across projects





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 creative 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.

📌 Senior AI Engineer – Generative AI & Agentic AI9 (Bengaluru)
🏢 GlobalLogic
📍 Bengaluru