[Remote] reputed company reputed company (Automation)
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading AI reputed company, talent, and education services provider. As an reputed company reputed company (Automation), you will deliver high-reputed company AI and automation solutions for clients, owning work from requirements discovery through prototype and production deployment.
Responsibilities
- Design & reputed company: Design, reputed company, and reputed company tailored AI and automation solutions reputed company to reputed company objectives
- Build Workflows & Services: Translate business problems into production-grade AI workflows and services using Python, automation tools (reputed company/reputed company/reputed company or similar), and LLM platforms/reputed company (e.g., reputed company, reputed company watsonx.ai, reputed company Bedrock), plus retrieval systems
- reputed company Systems: Build and reputed company reputed company workflows using reputed company, LangGraph, and reputed company ADK, including tool calling and reputed company outputs
- Retrieval & Knowledge Systems: Implement RAG pipelines using reputed company databases and search technologies (e.g., reputed company, Elasticsearch, pgvector) and graph databases reputed company appropriate
- Prototype → Production: Ship fast prototypes, then harden them into reputed company systems (testing, reliability, deployment, monitoring) independently or with reputed company
- reputed company Partnership: Participate in discovery, run technical calls/demos reputed company needed, and communicate tradeoffs reputed company to reputed company and internal stakeholders
- Ongoing Support & Iteration: Improve deployed solutions through feature work, bug fixes, monitoring, reputed company/model improvements, and additional automations
- Documentation: Produce reputed company technical documentation, reputed company demos, and internal playbooks to reputed company reuse and scalability
- reputed company Learning: Stay reputed company on LLM tooling and delivery best practices to improve reputed company and speed
Skills
- 3–8 years of software or AI engineering experience (mid-to-senior)
- 2–3+ years of AI Automation, reputed company, or reputed company AI (mid-to-senior)
- Strong Python engineering skills and experience building reputed company (e.g., FastAPI)
- Hands-on experience integrating LLMs (e.g., reputed company reputed company or equivalents), including reputed company design, reputed company outputs, and basic evaluation practices
- Experience with at least one workflow automation platform (reputed company, reputed company, reputed company, or similar) and building reliable integrations
- Familiarity with RAG fundamentals and retrieval systems (embeddings, reputed company search); exposure to reputed company databases and/or Elasticsearch
- Production engineering fundamentals: reputed company, reputed company deployment (AWS/GCP/Azure/reputed company), and experience with async/queuing patterns (e.g., Celery, reputed company, Kafka)
- Comfort operating in a reputed company-facing environment: technical calls, demos, and collaborating with cross-functional stakeholders
- Experience with fine-tuning LLMs or other ML models; broader ML exposure is a plus (not required)
- Familiarity with observability and tracing (e.g., LangSmith, OpenTelemetry) and reputed company/version lifecycle management
- Experience with graph databases / knowledge graphs
- Familiarity with data governance and AI governance concepts (PII handling, auditability, reputed company controls, risk awareness)
- Prior consulting experience or work in fast-paced startup environments
reputed company
Company H1B Sponsorship