Senior Software Engineer
- Source: LinkedIn
- JLL
- On-site
- Bengaluru
- Full-Time
- Senior
Job Description
Forward Deployed Engineer JLL Technologies
Bangalore
Technical Requirements: Agentic AI
- LLM API fundamentals — LLM API integration — tool use, function calling, streaming, context management
- Skill building — Design and publish reusable skills consumable by LLM-powered agent workflows
- MCP (Model Context Protocol) — Build and consume MCP servers; expose and integrate tools for agent use
- A2A communication — Multi-agent coordination, task delegation, result aggregation across agent networks
- RAG pipelines — Vector databases, chunking, embeddings, retrieval pipelines
- Prompt engineering — System prompts, chain-of-thought, evaluation and iteration
- Agent frameworks — Strands as primary framework; awareness of LangGraph, CrewAI, or AutoGen
- Guardrails — Hallucination mitigation, human-in-the-loop checkpoints, agent observability
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)
- REST API design, JWT / OAuth2
Workflow Automation
- Decompose manual business processes into agent pipelines
- Document processing — PDF, Excel, unstructured data extraction and classification
- Enterprise system integration — SharePoint, email, Jira, SAP or similar
Infrastructure
- AWS AgentCore — Host and operate agent workloads; understand lifecycle, scaling, and invocation patterns
- AWS services — EC2/ECS, Lambda, RDS, S3 — support agent deployment and data storage needs
- Docker and containerisation
- GitHub Actions CI/CD
Additional Skills:
- Next.js 15+, TypeScript, Tailwind CSS
- Terraform / Infrastructure as Code
- Kubernetes
- RPA tools — UiPath, Power Automate
- Fine-tuning and model evaluation
- CRE domain knowledge
Experience
- Proven experience in software engineering
- At least one production project involving LLM agents, skill building, or RAG pipelines
- 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
Skills
- LangGraph
- crewai
- guardrails
- Python
- FastAPI
- opensearch
- OAuth2
- JIRA
- sap
- amazon-web-services
- amazon-ec2
- amazon-ecs
- aws-lambda
- amazon-rds-for-mysql
- amazon-s3
- Docker
- Github
- github-actions
- next-js
- TypeScript
- microsoft-typescript
- Tailwind
- tailwind-css
- Terraform
- Kubernetes
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