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Lyzr Ai
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App Store Developers

App Store Developers

Lyzr Ai

1 - 4 years

5 - 8 Lacs

coimbatore

Posted:2 hours ago| Platform:

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Skills Required

git orchestration deployment product design sdk open source aws monitoring salesforce testing

Work Mode

Work from Office

Job Type

Full Time

Job Description

- Design and implement AI agents on Lyzr, leveraging its native capabilities for orchestration, tooling, and governance.

- Use your experience with LangChain / OpenAI Agent SDK / Google ADK / other frameworks to:

- Translate patterns and best practices into Lyzr-native agents

- Help migrate/port existing agents from those frameworks into Lyzr

- Build and optimize RAG (Retrieval- mented Generation) pipelines: data ingestion, indexing, retrieval, and response assembly.

- Do hands-on context engineering: system prompts, tool definitions, multi-step workflows, and evaluation/iteration loops.

- Develop full-stack features around agents using TypeScript (Node.js backends + modern frontend framework such as React/Next.js).

- Deploy and operate services on AWS (Lambda/ECS/EKS, API Gateway, S3, RDS/DynamoDB, CloudWatch, IAM, etc.).

- Integrate Lyzr agents with external systems and APIs (CRMs, data warehouses, internal tools).

Implement itoring, logging, and guardrails to keep agents reliable, secure, and observable in production.

Collaborate with product, design, and customer teams to turn business workflows into robust agentic solutions.

Must-Have Qualifications

- 1-4+ years of professional software development experience (or equivalent depth via projects/startups).

- Strong full-stack engineering skills + agentic AI experience with production

- Hands-on experience with at least one major agent framework, such as: LangChain, OpenAI Agent SDK, Google ADK (Bonus: CrewAI, LangGraph, AutoGen, etc.)

- Strong desire and ability to build new agents pri ily on Lyzr, and to map concepts from other frameworks into Lyzr.

- Proven experience with RAG: Vector databases (e.g., Pinecone, Weaviate, pgvector, OpenSearch, etc.), Chunking strategies, embeddings, retrieval optimization

- Solid context engineering skills:

- System / tool / user prompt design

- Multi-step agent workflows and planning

- Solid experience building and deploying production systems on AWS.

- Strong engineering fundamentals: testing, Git, CI/CD, code reviews, API design.

Nice to Have

- Experience with more than one agent framework and migrations between them.

- Experience with LLM evaluation, observability, and guardrail frameworks.

- Familiarity with enterprise data ecosystems (Snowflake, BigQuery, Salesforce, etc.).

- Open-source contributions or public demos of agents you ve built.

Disclaimer: The job location mentioned in this description is based on publicly available information or company headquarters. Candidates are advised to verify the exact job location directly with the employer before applying.

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