[Remote] AI Engineer

Note: The job is a remote job and is open to candidates in USA. Sycomp is a global IT services and logistics provider specializing in cloud and data center solutions. They are seeking an AI Engineer to design and build AI pipelines and autonomous agent systems on cloud infrastructure, focusing on transforming ambiguous problems into reliable production workloads.ResponsibilitiesDesign and build AI pipelines that handle real‑world messiness – long‑form media, unstructured documents, streaming data, multi‑modal inputs – including the chunking, context management, retry logic, and output validation that production systems requireArchitect autonomous agent systems: tool selection, planning loops, memory strategies, evaluation, and the guardrails that keep them from going off the railsBuild on AWS using services like Bedrock, S3, Lambda, Step Functions, SageMaker, OpenSearch, and ECS/EKS – choosing the right primitive for the job rather than forcing one pattern everywhereMake pragmatic decisions about model selection, prompt design, fine‑tuning vs. RAG vs. agentic workflows, and cost/latency/quality tradeoffsOwn the data layer: how data is ingested, transformed, stored, indexed, and surfaced to models so that outputs are accurate, traceable, and usefulEstablish evaluation frameworks and observability so we know whether the system is actually getting better when we change itCollaborate with engineers and stakeholders to translate fuzzy business problems into technical designs and shipped systemsSkills4+ years of software engineering experience, with at least 2 years building AI/ML systems in productionHands-on experience with AWS, including Bedrock or equivalent foundation model services, and at least a few of: S3, Lambda, Step Functions, SageMaker, OpenSearch, DynamoDB, ECS/EKSDemonstrable experience building AI pipelines or agentic systems that handle non-trivial data shapes – long documents, audio/video, large structured datasets, or streaming inputsStrong intuition for prompt 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 (LangChain, LlamaIndex, LangGraph, Bedrock Agents, Strands, or similar) – though you should also be willing to drop the framework when it gets in the waySolid grasp of data engineering fundamentals: how to clean, transform, embed, index, and retrieve data so that what reaches the model is actually usefulExperience designing evaluation pipelines for non-deterministic systems – you know that 'it worked when I tested it' is not a quality barExperience with Azure (Azure OpenAI, AI Foundry, AI Search) or GCP (Vertex AI, Gemini APIs)Background in multi-modal systems (vision-language models, audio transcription pipelines, video understanding)Experience with vector databases (Pinecone, Weaviate, pgvector, OpenSearch k-NN) and hybrid retrieval strategiesFamiliarity with fine-tuning, distillation, or model adaptation techniquesExperience with MLOps tooling, model versioning, and A/B testing for AI systemsContributions to open source AI/ML projectsBenefitsA comprehensive benefits package, including health, dental, vision, and other standard benefitsCompany OverviewSycomp is a global IT and logistics service provider with expertise in cloud, data center, endpoint management and security solutions. It was founded in 1995, and is headquartered in Foster City, California, USA, with a workforce of 501-1000 employees. Its website is http://www.sycomp.com.Company H1B SponsorshipSycomp has a track record of offering H1B sponsorships, with 1 in 2025, 6 in 2024, 2 in 2023, 1 in 2022. Please note that this does not guarantee sponsorship for this specific role.