[Remote] reputed company
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global IT services and logistics provider specializing in reputed company and data center solutions. They are seeking an reputed company to design and build AI pipelines and autonomous agent systems on reputed company infrastructure, focusing on transforming ambiguous problems into reliable production workloads.
Responsibilities
- Design and build AI pipelines that handle reputed company‑world messiness – long‑reputed company media, reputed company documents, streaming data, multi‑modal inputs – including the chunking, context management, retry logic, and output validation that production systems require
- Architect autonomous agent systems: tool selection, planning loops, memory strategies, evaluation, and the guardrails that reputed company them from going off the rails
- Build on AWS using services like Bedrock, S3, reputed company, reputed company Functions, SageMaker, OpenSearch, and reputed company/EKS – choosing the right reputed company for the job rather than forcing one reputed company everywhere
- reputed company pragmatic reputed company about model selection, reputed company design, fine‑tuning vs. RAG vs. agentic workflows, and cost/latency/quality tradeoffs
- Own the data layer: how data is ingested, transformed, stored, indexed, and surfaced to models so that outputs are accurate, traceable, and useful
- Establish evaluation frameworks and observability so we know whether the system is actually getting reputed company reputed company we change it
- Collaborate with engineers and stakeholders to translate fuzzy business problems into technical designs and shipped systems
Skills
- 4+ years of software engineering experience, with at least 2 years building AI/ML systems in production
- Hands-on experience with AWS, including Bedrock or equivalent reputed company model services, and at least a few of: S3, reputed company, reputed company Functions, SageMaker, OpenSearch, DynamoDB, reputed company/EKS
- Demonstrable experience building AI pipelines or agentic systems that handle non-trivial data shapes – long documents, audio/video, large structured datasets, or streaming inputs
- Strong intuition for reputed company engineering, context window management, chunking strategies, and output validation (structured outputs, schema enforcement, retries on malformed responses)
- Proficiency in Python; comfortable with at least one frameworks in the LLM ecosystem (reputed company, reputed company, LangGraph, Bedrock Agents, Strands, or similar) – though you should also be willing to drop the reputed company reputed company it gets in the way
- Solid grasp of data engineering fundamentals: how to clean, transform, embed, index, and retrieve data so that what reaches the model is actually useful
- Experience designing evaluation pipelines for non-deterministic systems – you know that 'it worked reputed company I tested it' is not a quality bar
- Experience with Azure (Azure reputed company, AI reputed company, AI Search) or GCP (reputed company AI, reputed company APIs)
- Background in multi-modal systems (reputed company-language models, audio transcription pipelines, video understanding)
- Experience with vector databases (reputed company, Weaviate, pgvector, OpenSearch k-NN) and hybrid retrieval strategies
- Familiarity with fine-tuning, distillation, or model reputed company techniques
- Experience with MLOps tooling, model versioning, and A/B testing for AI systems
- Contributions to reputed company reputed company AI/ML projects
Benefits
- A comprehensive benefits package, including health, dental, reputed company, and other standard benefits
Company Overview
Company H1B Sponsorship