Senior Ai Engineer Generative Ai & Agentic Ai
- Globallogic
- 5 - 10 years
- Noida, Gurugram
- 3 days ago
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Job Description
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.
Strong architecture and stakeholder communication skills
Requirements:
Must Have Skills
610 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
Strong AI/ML and Machine Learning fundamentals
Strong 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!
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Search EngineerEmployement Type: Full timeContact Details:
Company: GloballogicLocation(s): Noida, Gurugram
Keyskills: fundamentals semantic python orchestration api integration workflow kernel enterprise aiml solution development engineering machine learning tools artificial intelligence system optimization embedded systems vector cost management ml communication skills architecture
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