Description
Proven experience in software engineering, with hands-on AI engineering shipped to production (years of experience are
not the criterion; depth of AI delivery is)
- At least one production project involving LLM agents, skill building, or RAG pipelines — ideally on AWS Bedrock
AgentCore and/or Step Functions
- Direct experience working with enterprise customers to design, deploy and scale AI-powered production workflows using
Claude Code / Cowork
- Track record of owning and delivering solutions end-to-end with minimal guidance
- Experience working directly with non-technical stakeholders — gathering requirements, presenting solutions
- Consulting or client-facing background is an advantage
Requirements
Harness Engineering — Core
- Harness engineering — Excellent understanding of designing agent harnesses: the control loop, tool and skill surface,
context and state management, and human-in-the-loop checkpoints around an LLM
- AWS Step Functions with ASL — Author Amazon States Language state machines to orchestrate agent steps,
branching, retries, parallelism and human-approval gates (e.g. task-token waits); invoke AgentCore runtimes and Lambda
from workflows
- Deterministic vs LLM control — Design workflows where policy gates and rules decide routing and the LLM only
proposes, with explicit exception, timeout and loop-guard paths
- Amazon Bedrock AgentCore — Host, operate and scale agent workloads on AgentCore Runtime; understand lifecycle,
scaling and invocation patterns, and expose tools via AgentCore Gateway
- AgentCore Observability — Hands-on tracing, metrics and logging of agent runs (AgentCore, CloudWatch, Datadog)
with a per-step audit trail to debug and monitor production workflows
- AgentCore Evaluation — Hands-on design and running of evaluations (AgentCore Evaluations, golden-dataset
regression tests) to measure agent quality before and after each release
- Guardrails — Hands-on configuration of Amazon Bedrock Guardrails and policy controls for safety, prompt-injection
defence, PII and hallucination mitigation, with human-in-the-loop review where required
Agentic AI with Claude
- Claude Code / Cowork — Experience designing, deploying and scaling AI-powered production workflows using Claude
Code and/or Cowork
- LLM API fundamentals — Tool use, function calling, streaming and context management
- Skill building — Design and publish reusable skills consumable by agent workflows
- MCP (Model Context Protocol) — Build, host and consume MCP servers (e.g. FastMCP on AgentCore); expose and
integrate tools for agent use, with agents reaching data only through MCP/API, never directly
- Multi-agent coordination — Task delegation and result aggregation across agents (A2A)
- RAG pipelines — Vector databases, chunking, embeddings and retrieval
- Prompt engineering — System prompts, evaluation and iteration
Front End
- AG-UI — Build agent-facing user interfaces on the AG-UI protocol, connecting the front end to running agents for
streaming responses, tool-call visibility, shared state and human approval steps
Backend
- Python 3.10+ — async/await, type hints
- FastAPI or equivalent Python web framework
- Basic SQL — query, filter, join; awareness of vector DBs (pgvector, Pinecone, OpenSearch)
- NoSQL — Working knowledge of document/key-value stores (e.g. Amazon DynamoDB): data modelling, access
patterns, and using them for agent run state and audit trails
- REST API design, JWT / OAuth2
Workflow Automation
- Decompose manual business processes into agent workflows
- Document processing — PDF, Excel, unstructured data extraction and classification
Job responsibilities
Proven experience in software engineering, with hands-on AI engineering shipped to production (years of experience are
not the criterion; depth of AI delivery is)
- At least one production project involving LLM agents, skill building, or RAG pipelines — ideally on AWS Bedrock
AgentCore and/or Step Functions
- Direct experience working with enterprise customers to design, deploy and scale AI-powered production workflows using
Claude Code / Cowork
- Track record of owning and delivering solutions end-to-end with minimal guidance
- Experience working directly with non-technical stakeholders — gathering requirements, presenting solutions
- Consulting or client-facing background is an advantage
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.
