Framework Engineer

3 weeks ago

Bengaluru, India Lyzr AI Full time

About the roleLyzr is hiring a hands-on framework engineer to build the core primitives that power agent orchestration and Retrieval-Augmented Generation (RAG) at enterprise scale. You’ll design and ship SDKs, execution engines, and graph/DAG orchestrators used by thousands of agents in production. If you love clean APIs, concurrency, and building frameworks others love to build on, we should talk.What you’ll do- Design and implement core framework building blocks: nodes/operators, state stores, executors, schedulers, and adapters.- Build orchestration managers (workflow, DAG, event-driven/manager-worker) with strong typing, retries, idempotency, and back-pressure.- Develop RAG frameworks (indexing, chunking, embeddings, routing, re-ranking, Graph/GraphRAG patterns) with pluggable backends.- Create integration layers and adapters for popular ecosystems (e.g., LangChain, LangGraph) and improve or replace them where needed.- Drive performance & reliability: async/concurrency (asyncio), caching, vector I/O, tracing/telemetry, and low-latency streaming.- Establish testing & release discipline: benchmarks, fuzz tests, contract tests, semantic versioning, docs, examples, and CI.- Collaborate with product and solutions teams to turn real-world requirements into elegant public APIs and reference implementations.Must-have qualifications- 5+ years building developer frameworks, SDKs, or distributed systems in Python (3.10+); strong API design and packaging discipline.- Deep experience with workflow/DAG orchestration and stateful systems (schedulers, retries, checkpoints, resumability).- Proven RAG foundation: vector stores, retrieval strategies, evaluation harnesses, hybrid search, and graph/GraphRAG concepts.- Strong async/concurrency skills (asyncio), profiling, and performance tuning.- Excellent testing habits (unit/integration/property tests), doc culture, and empathy for downstream developers.Nice to have (big plus)- Rust for performance-critical components (ownership/borrowing, async runtimes like tokio).- Prior work on/with LangChain, LangGraph, CrewAI, LlamaIndex, or similar—either contributions or deep adapter/internal use.- Graph databases/engines (Neo4j, Memgraph), vector DBs (pgvector, Pinecone, Weaviate, Milvus), message buses (Kafka, NATS).- Observability & safety: OpenTelemetry tracing, eval harnesses, red-team pipelines, guardrails/hallucination mitigation.- Systems patterns: plugin architectures, dependency injection, DSLs, CRDTs/state machines, event sourcing.- Cloud/K8s familiarity and secure on-prem/VPC deployments.What we value- Builder energy: you can write a framework from scratch or improve an existing one with restraint and taste.- Pragmatism over hype: small, composable pieces; stable APIs; sharp boundaries.- OSS spirit: code readability, docs, examples, and community stewardship.What to include with your application- Links to GitHub (or equivalent), notable PRs/issues, PyPI/crates.io packages, talks, or design docs.- Short note on a framework you built/improved: the API choices you made and why.Apply Here:

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