
Search by job, company or skills

About EB1A Experts
EB1A Experts simplifies the path to U.S. permanent residency for tech professionals pursuing
EB-1A, O-1A, and NIW immigration petitions. Founded by Raghu Suram, who navigated the
EB-1A process firsthand, the company combines expert guidance with AI-driven strategy to help
applicants evaluate their profiles, build stronger cases, and get approved faster.
About LevelUp
LevelUp is our flagship B2C subscription product, a guided, AI-powered platform that brings
structure, visibility, and strategy to high-skill immigration petition preparation. It helps applicants
self-assess their eligibility, organise evidence, identify gaps, and build a compelling petition
narrative. Under the hood, LevelUp is powered by an internal intelligence engine using RAG,
LLMs, and proprietary data to analyse profiles and surface actionable insights.
Role Overview
This is a hands-on role focused on designing and shipping real-world intelligent systems that
help analyse complex profiles, generate insights, and improve decision-making using a
combination of structured data, machine learning, and large language models. You will work
closely with the product and engineering team to build AI-powered features end-to-end, from
data pipelines and model training to LLM integrations and production deployment.
Key Responsibilities
● Build systems that extract structured signals from unstructured data (documents, profiles,
forms)
● Develop scoring and decision-support systems combining business logic and machine
learning
● Train and evaluate models for prediction tasks using real-world datasets
● Design LLM-powered workflows for reasoning, summarisation, and insights
● Build retrieval systems to surface relevant historical data and patterns
● Improve system performance over time using feedback and data
● Integrate AI/ML capabilities into the core product platform
● Use AI tools (Cursor, Claude Code, etc.) to accelerate development and problem-solving
● Participate in code reviews and contribute to engineering best practices
What We're Looking For
● 4–7 years of experience in backend, data, or ML engineering
● Strong Python skills
● Experience building production-grade ML or data systems
● Experience working with LLMs (OpenAI / Anthropic / similar APIs)
● Solid understanding of feature engineering, model evaluation (AUC, precision/recall), and
working with real-world data
● Good grasp of system design and debugging
Nice to Have
● Experience with XGBoost / LightGBM / sklearn
● Experience with vector databases or retrieval systems (RAG)
● Experience building internal tools or decision-support systems
● Familiarity with document parsing / NLP pipelines
● Experience with cloud platforms (AWS/GCP/Azure)
● Familiarity with MLOps practices (Docker, CI/CD for ML, model monitoring)
Why Join Us
● Work on a real-world impactful product in the immigration space
● Be part of a small, high-ownership engineering team
● Build in an AI-first engineering environment
● Opportunity to influence product and technical direction
● Own the full AI/ML pipeline from experimentation to production
Job ID: 150959657
Skills:
system integration, Logging, Node.js, API design, Microservices, GECX CX, voice chat, Cisco contact center, event-driven integration patterns, observability
Skills:
agent development , Java, Bi Tools, Dimensional Modeling, Docker, Kubernetes, Python, RAG architecture, MCP servers, LLM integration, NLP frameworks, Go, cloud-native deployments, vector databases, context memory management, prompt engineering, semantic graph technologies, observability
Skills:
Version Control, Testing, Python, modularity, RAG multi-agents, API-based LLMs, ML DL frameworks and libraries, software engineering fundamentals
Skills:
Tensorflow, Pytorch, Gcp, Azure, Python, AWS, LangChain, data pipelines, parameter tuning, AI ML frameworks, model optimization
Skills:
Tensorflow, Gcp, Pytorch, Azure, Python, AWS, LangChain, data pipelines, parameter tuning, AI ML frameworks, model optimization
We don’t charge any money for job offers