Solvd, Inc.

Full-stack Engineer

• Own end-to-end increments from scope through build, demo, and handoff
• Work across the stack. Frontend, backend, LLM integrations, whatever the problem needs
• Use coding agents and agentic engineering workflows to move fast
• Partner with Pre-sales, GTM, and product discovery teams to understand client problems and constraints
• Make scope tradeoffs that balance speed with learning
• Spot patterns across projects and flag opportunities for reuse
• Contribute to tooling and workflows that help the team ship faster over time
• Document what you build so it can be handed off or extended

AI Product Engineer

• Own and evolve the team's internal tooling
• Ship client increments alongside the team when not focused on tooling work
• Design and improve agentic engineering workflows
• Enable the team to adopt new tools and workflows
• Partner with Pre-sales, GTM, and product discovery teams
• Identify bottlenecks and automation opportunities
• Document tooling and workflows for easy adoption

AI Product Engineer – Tooling

• Own the design and front-end implementation of increments from concept through build and demo.
• Build in code. HTML, CSS, React, whatever gets it shipped.
• Use coding agents and agentic engineering workflows to move fast.
• Partner with Pre-sales, GTM, and product discovery teams to understand client problems and constraints.
• Make design tradeoffs that balance polish with speed.
• Define and evolve AI UX patterns that the team can reuse across projects.
• Spot interaction patterns that work (and don't) and document them for the team.
• Ensure increments are coherent and usable, not just functional.

AI Product Engineer, Design

AI Product Engineer – Design

• Partner with Pre-sales, GTM, and product discovery teams to define the right problem, success criteria, and constraints.
• Break ambiguous client needs into focused increments deliverable in days, each with a clear hypothesis to test.
• Deliver end-to-end increments by combining your own work, team delegation, and coding agents working in parallel.
• Own final quality. Agents accelerate the work, but you're accountable for what ships.
• Evolve our tooling and workflows so the team ships faster each month.
• Spot patterns across client work and turn them into reusable building blocks.
• Define handoff standards when increments mature into v1 products or move to delivery teams.
• Mentor builders toward high ownership, pragmatic shipping, and continuous reuse.
• Create a culture where speed comes from better systems, not longer hours.

Lead AI Product Engineer

Data Engineer

• Build and maintain scalable data pipelines with Databricks, Spark, and PySpark.
• Manage data governance, security, and credentials using Unity Catalog and Secret Scopes.
• Develop and deploy ML models with MLflow; work with LLMs and embedding-based vector search.
• Apply ML/DL techniques (classification, regression, clustering, transformers) and evaluate using industry metrics.
• Design data models and warehouses leveraging dbt, Delta Lake, and Medallion architecture.
• Work with healthcare data standards and medical terminology mapping.

Data Engineer, Databricks

Consultant

• Lead the end-to-end design of a secure, governed, enterprise-scale Data Lakehouse platform for a FinTech organization
• Define and implement future-proof security, governance, and interoperability strategies
• Design end-to-end PII data protection strategy including tokenization and encryption
• Implement secure ingestion patterns
• Define data catalog strategy
• Lead migration of legacy ETL pipelines into Lakehouse architecture
• Establish CI/CD practices for pipelines and governance rules

Senior Data Consultant

Artificial Intelligence

• Collaborate with cross-functional teams to design and build AI Agentic solutions.
• Contribute to defining technical requirements and implementing features across the software lifecycle - from proof of concept through implementation to evaluation and production.
• Take ownership of assigned tasks and deliver high-quality, maintainable code.
• Manage backend tasks while contributing to frontend development.
• Stay informed about trends and advancements in AI and related fields, continuously learning and integrating new knowledge.
• Employ a pragmatic, evaluation-driven approach to adopting innovative AI solutions.

Senior AI NodeJS Engineer

Data Analyst

• Conduct data collection, exploration & analysis to uncover business insights, trends and patterns.
• Optimize data flow & architecture across operational and analytical platforms for efficiency.
• Ensure data integrity and accuracy by documenting processes and maintaining quality controls.
• Develop dashboards & reports to support decision-making.
• Collaborate with cross-functional teams in marketing, operations, and finance to drive data-driven decisions.
• Demonstrated ability to apply strong analytical thinking to solve complex problems, interpret data, and make data-driven decisions.

Senior Data Analyst

Infrastructure Engineer

• Design complex, scalable, and secure AWS architectures based on client requirements
• Create migration strategies for applications, data centers, networks, and workloads
• Define infrastructure patterns and reusable frameworks for cloud adoption
• Lead the deployment of AWS services such as EC2, VPC, IAM, S3, RDS, Lambda
• Execute large-scale migrations of applications, data, and networks
• Troubleshoot issues during delivery and guide teams in implementing best practices
• Work directly with client stakeholders to gather requirements and validate designs
• Provide guidance on industry trends, cloud capabilities, and modernization approaches
• Communicate complex technical concepts to both technical and non-technical audiences
• Mentor junior consultants and share best practices internally
• Develop documentation, templates, and repeatable assets for future engagements
• Support internal learning and cloud capability development within Solvd.

Cloud Infrastructure Architect

Cloud Engineer

• Design and implement scalable, secure AWS architectures based on client requirements
• Assess current-state environments and propose effective cloud migration strategies
• Build patterns and frameworks to support repeatable, high-quality delivery
• Lead implementation of AWS services including compute, networking, storage, IAM, databases, and serverless
• Troubleshoot issues during delivery and guide teams in operational best practices
• Ensure performance, reliability, and security across deployed solutions
• Collaborate with stakeholders to gather requirements and validate solution designs
• Act as a trusted advisor on cloud strategy, modernization options, and industry trends
• Translate complex technical concepts into clear, actionable guidance for both technical and non-technical audiences
• Mentor team members and contribute to internal learning initiatives
• Develop documentation, reusable assets, templates, and best practices for future projects
• Promote continuous improvement within Solvd’s Cloud Engineering practice

Backend Engineer

• Identity resolution analytics (deterministic + probabilistic).
• Customer profile enrichment and feature engineering.
• Intent scoring and behavioral modelling.
• Rule-based decisioning with a clear path to ML-driven models.
• Model validation, performance measurement, and drift detection.
• Analytical inputs powering real-time APIs and microservices.
• Working with batch data today, while designing for near real-time enablement.

Senior Data Scientist, Python, AI/ML Models, AWS, DataBricks, MySQL

DevOps Engineer

• Design, build and support automated provisioning, continuous deployment and telemetry systems that help our teammates work more effectively.
• Help make decisions around infrastructure technology choices that impact developer workflow, security, scalability, reliability, and performance.
• Contribute to the curation and prioritization of the team roadmap.
• Embrace cross-team collaboration, debate, and execution, working closely with teammates in Application Engineering, Service Reliability Engineering, Data Science, Program Management, E-Commerce Engineering, and business orgs to solve problems and make sure our infrastructure evolves with our products.

Senior DevOps Engineer

• Define the target architecture for Customer360 on Snowflake or Databricks, including ingestion patterns, modeling standards, and governance.
• Design and lead the Golden Record / identity resolution approach (deterministic matching first), including identifiers, survivorship rules, confidence scoring.
• Create the canonical customer model (core entities/relationships) and align marts/domains (e.g., insurance, cards, loans) into a unified customer layer.
• Establish data quality frameworks: checks (null/uniqueness/RI/thresholds), monitoring/alerts, lineage/source-of-truth mapping, and data SLAs.
• Define activation-ready outputs (customer attributes, segments, eligibility indicators) and support low-latency enablement patterns where needed.

AI Product Engineer

AI Product Engineer – Tooling

AI Product Engineer, Design

AI Product Engineer – Design

Lead AI Product Engineer

Data Engineer, Databricks

Lead AI Product Engineer

Senior Data Consultant

Senior AI NodeJS Engineer

Senior Data Analyst

Cloud Infrastructure Architect

Cloud Engineer

Senior Data Scientist, Python, AI/ML Models, AWS, DataBricks, MySQL

Senior DevOps Engineer

Data Architect, AWS, DataBricks, MySQL