Lead the technical direction of the search engine behind Progress’s Agentic RAG product, designing and implementing distributed Rust-based search and indexing systems.
Compensation
Generous remuneration package
Employee Stock Purchase Plan Enrollment
Vacation, Family, and Health
23 vacation days annually
Birthday day off
Community service time off
International Women's Day - March 8 is an official holiday for all employees
Life and Medical Insurance
Responsibilities
Own the architecture and roadmap of our distributed search and indexing engine, written in Rust.
Design and implement vector, full-text and graph indexes (HNSW, quantization, multi-vector, Tantivy) and the query and filtering layer on top of them.
Evolve how indexes are built, merged, sharded and replicated on object storage, PostgreSQL and NATS.
Lead large migrations and performance work, based on profiling and benchmarks, without customer downtime.
Contribute to the Python services, SDKs and PyO3 bindings built on the engine, keeping public APIs stable.
Lead the technical direction of CI&T’s agent SDK platform, owning API design, versioning, and safety features while mentoring a team and driving multi‑agent orchestration.
Responsibilities
Own the SDK as a product: public API, semantic versioning, deprecation policy, migration guides and release hygiene
Design and evolve the adapter and host contracts for agent behavior across frameworks and deployment targets
Lead multi‑agent orchestration patterns and build runtime safety into the SDK
Define the extension model and support features
Own the parity and contract test suite for SDK and template releases
Build and maintain the core components teams use to ship agents: the Python SDK, agent and MCP templates, memory and context services, the agent registry integration and the FastAPI entry layer.
Responsibilities
Build SDK features and framework adapters (Strands, Claude Agent SDK, LangGraph), including memory (AgentCore Memory short- and long-term, Redis), skills, prompt management integration, and evaluation hooks.
Build and maintain agent and MCP server templates for AgentCore Runtime and ECS Fargate, over HTTP and A2A.
Integrate with the AWS Agent Registry: registration, approval flow, identity-scoped discovery. Build and support RAG and knowledge services (Bedrock Knowledge Bases, OpenSearch vector, ingestion pipelines).
Lead the technical direction and architecture of agentic systems that audit medical claims end-to-end, while mentoring engineers and ensuring production reliability.
Compensation
The salary for this position is based on an array of factors unique to each candidate, such as years and depth of experience, skill set, and certifications. The base salary range for this role is [L6 range: confirm with Comp before posting]. Compensation also includes meaningful equity, healthcare, unlimited PTO, and more.
Responsibilities
Own the agent architecture and evaluation strategy
Define and build evaluation infrastructure
Engineer context at scale
Lead projects across multiple engineers
Run systems in production
Requirements
Bachelor's in CS, Math, Engineering or a related quantitative field
Nice to have: Long-context citation-grounded systems
Lead delivery of a next-generation risk analysis and scoring platform for a payments technology company, managing an AI-first team of C#/.NET, React, Python, and data platform engineers.
Responsibilities
Design, build and ship production C#/.NET services, APIs and React features
Contribute to and review the team’s Python work
Use Claude Code or equivalent agentic coding tool as primary accelerator
Deploy via Docker, Helm and Azure DevOps pipelines to AKS
Translate architecture group designs into technical plans
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