Job code
IRC291638
Published on 25 March 2026

Senior Software Engineer IRC291638

Designation

Engineer

Function

Engineering

Experience

3-5 years

Location

India - Bangalore

Skills

Azure, Python, SQL

Work Model

Hybrid

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Description

Agentic AI/ML Engg.

Requirements

Strong proficiency in Python with hands-on experience building production AI applications
 Demonstrated experience with LangGraph or similar agentic AI frameworks (LangChain, CrewAI,
AutoGen) for production systems
 Hands-on experience with LLM API integration (OpenAI, Azure OpenAI, Anthropic) and prompt
engineering
 Experience designing and implementing RAG systems including embedding models, vector databases,
and retrieval strategies
 Solid understanding of multi-agent system design, agent orchestration, persistent state management,
and memory patterns
 Experience with Python web frameworks (FastAPI) and distributed task processing (Celery) for
production APIs
 Experience with event-driven microservices and real-time streaming patterns
 Proficiency with AI-powered development tools (Cursor AI, GitHub Copilot, or similar) for AI-augmented
software development across the SDLC
 Proficiency with Git, CI/CD pipelines, and cloud platforms (preferably Azure)
Preferred Qualifications:
 Experience with vector databases (Qdrant, Pinecone, Weaviate, ChromaDB)
 Experience with Databricks Genie or similar natural language to data query platforms
 Experience with AWS Bedrock AgentCore for managed agent runtime and multi-cloud agent
deployment
 Knowledge of model fine-tuning, quantization, and serving optimization
 Experience with multi-tenant architecture patterns and enterprise-scale AI systems
 Experience with containerization (Docker, Kubernetes) and event-driven autoscaling (KEDA)
 Understanding of AI safety, responsible AI principles, and enterprise governance requirements

Job responsibilities

Agentic AI Architecture & Development:
 Design and build production-grade multi-agent systems using LangGraph as the primary orchestration
framework, with knowledge of LangChain, CrewAI, and AutoGen
 Architect agent orchestration patterns including planning, tool use, persistent state management,
memory, reflection, and multi-agent coordination
 Develop and optimize RAG (Retrieval-Augmented Generation) pipelines with document processing,
chunking strategies, embedding workflows, and vector database integration
 Build robust agent evaluation, testing, and observability frameworks to ensure reliability and
performance in production
 Design natural language to data query solutions integrating with platforms such as Databricks Genie
LLM Integration & Optimization
 Integrate and manage LLM/SLM services (OpenAI, Azure OpenAI, Anthropic, open-source models) with
appropriate model selection, prompt engineering, and cost optimization
 Design prompt engineering strategies including chain-of-thought, few-shot, and structured output
techniques for reliable agent behavior
 Implement guardrails, safety mechanisms, and content filtering for AI-generated outputs
 Evaluate and benchmark models for latency, accuracy, cost, and domain-specific performance
 
Platform & Backend Engineering:
 Build scalable Python backend services (FastAPI) that serve AI agent workflows to production
applications at enterprise scale
 Design and implement caching, rate limiting, persistent agent state, and conversation memory
strategies
 Develop event-driven microservices and real-time streaming for AI agent interactions
 Develop APIs and integration layers that connect AI agents with enterprise data sources, tools, and
external services
 Implement distributed task processing (Celery) and event-driven autoscaling (KEDA) for production AI
workloads
Innovation & Technical Leadership:
 Stay current with the rapidly evolving Agentic AI landscape and evaluate emerging frameworks,
models, and techniques
 Lead proof-of-concept development for new AI capabilities, moving successful experiments to
production
 Mentor engineers on AI engineering best practices, prompt engineering, and agent design patterns
 Contribute to technical documentation, architecture decision records, and AI solution design
specifications

 Champion the adoption of AI-powered development tools (Cursor AI, GitHub Copilot) across
engineering teams

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

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.

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