About the Company

Sycomp is a global IT services and logistics provider with extensive expertise in cloud, data center, endpoint management and security solutions. Sycomp’s diverse team of consultants and engineers deliver on the company’s mission to tackle challenging global IT projects through its state-of-the-art integration and warehouse centers and global technology partnerships. Headquartered in the heart of Silicon Valley, California, Sycomp has successfully shipped, deployed and managed complex IT projects and supporting assets in more than 150 countries helping its Fortune 500 customers and global partners realize a world without boundaries.

AI Engineer – Cloud AI & Agentic Systems

About the Role

We’re hiring an AI Engineer who can take an ambiguous problem – “extract structured insight from hours of video” – and turn it into a production pipeline that actually works. This isn’t a role for someone who only knows how to call an API and parse the response. We need an engineer who understands the full lifecycle: how raw data gets shaped, chunked, embedded, routed through a foundation model, validated, and turned into something a downstream system or human can act on.

You’ll architect and build AI pipelines and autonomous agent systems on cloud infrastructure (AWS preferred), working closely with product, data, and engineering to deliver capabilities that move beyond proof‑of‑concept into reliable, scalable production workloads.

What You’ll Do

Design 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 require.
Architect autonomous agent systems: tool selection, planning loops, memory strategies, evaluation, and the guardrails that keep them from going off the rails.
Build 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 everywhere.
Make pragmatic decisions about model selection, prompt 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 better when we change it.
Collaborate with engineers and stakeholders to translate fuzzy business problems into technical designs and shipped systems.

What You’ll Have Tackled Before

To give you a sense of the work: imagine you need to extract structured metadata from videos that are hours long. You can’t just hand the whole thing to a model. You have to think about how to segment the video meaningfully, how to chunk transcripts and frames so context isn’t lost at boundaries, how to pass that to Bedrock (e.g., Claude Sonnet 4.6), how to handle partial failures, how to stitch outputs back together coherently, and how to validate the result against ground truth. If reading that gets you thinking about overlap windows, schema‑constrained outputs, parallelization strategy, and cost‑per‑hour‑of‑video – we want to talk to you.

Required Qualifications

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 foundation model services, and at least a few of: S3, Lambda, Step Functions, SageMaker, OpenSearch, DynamoDB, ECS/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 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 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 when I tested it” is not a quality bar.

Nice to Have

Experience 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 strategies.
Familiarity with fine‑tuning, distillation, or model adaptation techniques.
Experience with MLOps tooling, model versioning, and A/B testing for AI systems.
Contributions to open source AI/ML projects.

How You Work

You’re skeptical of hype but excited about what actually works. You can tell the difference between a demo and a system.
You think about failure modes early. What happens when the model returns garbage? When the input is 10× bigger than expected? When the API rate‑limits you mid‑pipeline?
You care about cost and latency, not just capability. A solution that’s 10× more expensive than it needs to be isn’t a solution.
You communicate clearly with non‑AI engineers and non‑technical stakeholders. You can explain why an agent failed without hand‑waving about “the model.”

Compensation & Benefits

Compensation for this role starts at $104,000 annually and may vary based on experience, skills, and qualifications. This position also includes a comprehensive benefits package, including health, dental, vision, and other standard benefits.

Sycomp is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status, veteran status, or any other protected characteristic.

Sycomp will provide reasonable accommodation for qualified individuals with disabilities as needed. If you need assistance or an accommodation in applying, please contact our Human Resources Department at [email protected].

Sycomp complies with applicable AI regulations worldwide and adheres to the most rigorous standards. As such, our organization may use automated tools including artificial intelligence, to support certain aspects of the recruitment process, such as reviewing applications or identifying relevant experience and education. These tools assist our teams, and all final hiring decisions are made following human review. If you have questions or concerns about our process, please contact us at [email protected].