Connector Developer - Applied AI Engineering Job at DevRev (Ljubljana)

Connector Developer - Applied AI Engineering

You will be part of our Engineering team at DevRev, developing solutions over th...

Location

Slovenia , Ljubljana

Salary:

Not provided

DevRev

Expiration Date

Until further notice

Requirements

Senior Integration Development Expertise: Requires 3+ years in integration software development, focusing on designing, implementing, and scaling complex, customer-facing solutions using Webhooks and APIs (ETL). This includes hands-on experience with TypeScript/JavaScript, Python, and SQL.
Robust System Architecture & Security: Proven ability to build resilient and scalable integrations by prioritizing maintainable design patterns and utilizing strategies like rate limiting, retries, and exponential backoff. Must have a solid understanding of secure API integration practices (OAuth, API key/token management, secrets handling).
Advanced Data Synchronization & Modeling: Expertise in managing large-scale data synchronization (one-way and two-way sync) and proficiently handling data mapping, transformation, and schema alignment across diverse systems, including familiarity with data modeling and graph data structures.
Operational Excellence & Observability: Skilled in applying event-driven and pub/sub architectures for reactive integrations. This includes implementing clear logging and actionable error surfacing to support observability, writing high-quality tests, and efficiently triaging technical blockers.
API Standards & Documentation: Proficient in working with OpenAPI specifications and integrating third-party SDKs (e.g., Google, Azure). Must have experience writing concise, well-structured documentation for long-term team understanding and onboarding.
Education/Experience: Bachelor’s degree in Computer Science or a related field, OR demonstrated equivalent professional experience.

Job Responsibility

Design, develop, implement and maintain integrations, automations and customizations to integrate DevRev with customers’ tech stack and workflows, and ensure successful customer engagements.
Integrate DevRev with other SaaS and non-SaaS systems through APIs and Webhooks and/ or real-time communication technical architecture.
Utilize AI in novel ways to solve customer problems, including Generative AI techniques like prompt engineering for foundation large language models (LLMs) to enable great AI agent experience.
Conduct data analysis, writing SQL queries, and building dashboards to share insights and drive decision-making.
Be proactive in communicating and keeping constant feedback loops to all key stakeholders including Customers, Engineering, Product, Customer Success & Support, Revenue, Marketing etc.
Learn new tools and guide customers through critical workflows, e.g. integration with code repositories.

Engineering Leader - Applied AI

At DevRev, we're building the future of work with Computer – your AI teammate. U...

Location

India , Bangalore

Salary:

Not provided

DevRev

Expiration Date

Until further notice

Requirements

5+ years in software design and development, AI/ML engineering, or technical consulting coupled with customer-facing experience
3+ years leading technology teams as a hands-on leader
A bias for action and a relentless focus on solving problems for customers
Strong written and verbal skills to articulate technical concepts to both engineers and business stakeholders
Hands-on experience with AWS, GCP, or Azure, and modern DevOps practices (CI/CD, containers, observability)
Comfortable integrating systems via APIs, webhooks, and event/data pipelines
Use A/B testing, telemetry, and metrics to guide decisions and drive improvements
Bachelor's or Master’s degree in Computer Science, Engineering, or related discipline

Job Responsibility

Customer-facing: Working directly with customers
Lead Execution: Define project plans, align internal teams, and ensure timely delivery of deployments
Design & Deploy AI Agents: Build and configure intelligent solutions leveraging snap-ins, connectors (AirSync), workflows, and AI agents on the DevRev platform to solve real customer problems
Integrate Systems: Connect AI agents with external platforms (e.g., CRMs, APIs, databases) for seamless workflow automation
Optimize Performance: Tune prompts, logic, and agent configurations for accuracy, reliability, and scalability
Own Requirements: Partner with customers to deeply understand their needs and translate them into technical agent specifications
Prototype & Iterate: Lead live demos, build rapid proof-of-concepts, and refine solutions through customer feedback
Advise Customers: Act as a trusted technical advisor on AI agent architecture, performance, and long-term scalability

Fulltime

Mft Platform Engineer – Globus Implementation, Configuration & Operations

LIFE AT TECHM GET STARTED ALUMNI CONTACT US REGISTER / SIGN IN Scam Alert : To a...

Location

United States , Florham Park

Salary:

130000.00 - 140000.00 USD / Year

Tech Mahindra

Expiration Date

August 31, 2026

Requirements

A Bachelor’s or Higher Degree
3+ years hands-on experience with the Globus platform, including Globus Connect Server v5 deployment, configuration, and administration
Deep understanding of the Globus ecosystem: endpoints, collections (managed and guest), storage gateways, storage connectors (S3, POSIX), and the Globus Web App
Experience with GridFTP protocol — concurrency, parallelism, data channel tuning, and performance optimization for large-scale transfers
Familiarity with Globus Auth — OAuth 2.0 / OpenID Connect integration, federated identity management, and identity provider configuration
Experience with Globus Flows for workflow automation and scheduled/recurring transfer operations
Experience with Globus CLI and Globus Python SDK for scripting and automation
Familiarity with Globus vendor support engagement processes
Hands-on experience with GCP Compute Engine (VM provisioning, management, and maintenance)
Experience with GCP Cloud Storage (S3-compatible buckets, lifecycle policies, IAM, service accounts)

Job Responsibility

Complete final configuration and hardening of the Globus Connect Server (GCS v5) deployment on GCP Compute Engine VMs within the Data DMZ
Configure and validate Globus Storage Gateways and S3 Storage Connectors for ingress and egress GCP buckets
Configure Globus collections (Managed and Guest) aligned with Mayo's data access policies and identity provider restrictions
Validate end-to-end data transfer workflows including ingress, egress, and staging collection transfers across the Service Connector (SC) boundary into the MCC VPC
Configure DNS, authentication flows (OAuth/OpenID Connect via Entra ID), and endpoint registration within Globus.org
Onboard initial research user groups to the Globus platform, providing hands-on support for first transfers
Develop and document standardized user onboarding procedures, including Sailpoint provisioning workflows and Globus Web App access
Provide Tier 1/2 operational support for Globus users — troubleshooting transfer failures, stalled transfers, permission issues, connectivity problems, and performance optimization
Coordinate with Globus vendor support (University of Chicago) for escalated issues using the established Globus support process
Monitor and maintain Globus Connect Server VM health, GCS services, and GCP bucket lifecycle policies

What we offer

medical
vision
dental
life
disability insurance
paid time off (including holidays, parental leave, and sick leave, as required by law)

Fulltime

Product Owner

Location

Canada

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Demonstrable experience as a Senior Product Manager in a digital consultancy or agency environment, with a track record of leading product delivery on complex client engagements
Proven ability to align cross-functional teams and senior client stakeholders around a shared product direction by navigating competing priorities, ambiguity, and organizational complexity with confidence
Strong executive presence and communication skills. Able to frame problems, present recommendations, and lead difficult conversations with clarity and credibility at all levels, from delivery teams to C-suite
Hands-on experience leveraging AI tools to accelerate the SDLC. Areas of experience may include, but are not limited to, AI-assisted synthesis, requirements generation, prototyping, documentation, delivery reporting, development, and the ability to introduce these practices meaningfully to teams and clients
Genuine curiosity about how AI and emerging technology can be applied to product work. You follow developments in the space, experiment with new tools, and bring informed perspectives on what's practical and valuable
Experience owning product roadmaps and backlogs end-to-end, with a sharp instinct for prioritization and a clear methodology for making and communicating trade-off decisions
Solid commercial awareness. Understanding of SOW management, budget health, and how delivery decisions connect to revenue and margin outcomes for Valtech and the client
Experience in Agile delivery environments, with the ability to adapt frameworks to the needs of the engagement rather than apply them rigidly
A track record of developing others, whether through formal mentorship, line management, or leading by example in a team environment
Being a natural collaborator and dot-connector, bringing people into alignment through clarity, empathy, and conviction rather than authority

Job Responsibility

Define and own the product vision for your engagement by ensuring both the Valtech team and client stakeholders understand where the work is headed and why every decision connects back to that direction
Steer client and internal teams toward shared alignment, proactively resolving tension between business priorities, delivery constraints, and user needs before they become blockers
Build and sustain trusted relationships with senior client stakeholders, acting as a consistent, credible point of contact for product decisions, trade-offs, and strategic direction
Lead discovery and delivery in tandem by maintaining a clear, prioritized roadmap that reflects user needs, client goals, and technical realities, while keeping the team focused on outcomes over outputs
Champion the use of AI tooling across the SDLC, from accelerating research, analysis, and requirements work to improving the speed and quality of delivery cycles, and actively coach your team and clients on practical application
Demonstrate executive presence in every client interaction by communicating with clarity, confidence, and authority whether you're presenting a roadmap, navigating scope conversations, or managing escalations
Identify risks across delivery, stakeholder alignment, and commercial health
surface them early with proposed mitigations and lead the response when things need to move quickly
Own or co-own the product roadmap, using insight from users, data, and client strategy to make confident prioritization decisions and articulate the rationale clearly to all levels of the organization
Identify opportunities to extend or expand Valtech's engagement within your accounts, supporting commercial conversations with delivery credibility and strategic insight

What we offer

A comprehensive insurance plan, where you can choose the module that best suits your needs—Gold, Silver, or Bronze. The employer may contribute up to 80% of your coverage depending on the selected module. This plan includes short- and long-term disability coverage
Dialogue via Sun Life provides virtual healthcare services, allowing you to consult with a healthcare professional for emergencies, prescription renewals, and more. You also have access to the Employee and Family Assistance Program, as well as a complete mental health support program
A $500 Personal Spending Account, which can be used for healthcare reimbursements, gym memberships, public transit passes, office supplies, or contributions to your RRSP through Valtech
A retirement plan where Valtech will match 100% of your RRSP contributions through a Deferred Profit Sharing Plan (DPSP), up to a maximum of 4%. You can start contributing to your RRSP immediately, and to the DPSP after 3 months. The vesting of the DPSP will be after a 24 months of service
Access to a flexible vacation under Valtech's policy to support your work-life balance, with 5 days available during your probation period and a prorated amount calculated for the remainder of the year
Personal Technology Reimbursement – $30/month for every employee-offered on day 1
We close during the winter holidays and offer flexible scheduling throughout the year, so you can enjoy those sunny Friday afternoons—provided your weekly hours are completed

Fulltime

Forward Deployed Architect

As a Forward Deployed Architect, you will serve as a hands-on senior technical a...

Location

United States , Austin

Salary:

Not provided

DevRev

Expiration Date

Until further notice

Requirements

5+ years in software development, AI/ML engineering, or technical consulting with customer-facing experience
Customer Empathy: A bias for action and a relentless focus on solving problems for customers
Coding Skills: Strong proficiency using TypeScript/JavaScript, Python, data structures and algorithms.
Communication: Strong written and verbal skills to articulate technical concepts to both engineers and business stakeholders
Applied AI Knowledge: Large language models (LLMs), prompt engineering, frameworks like RAG and function calling, and building evals to validate agentic AI solutions. Must be able to articulate AI build experiences, challenges, and trade-offs
Architecture & Solutioning: Demonstrated experience designing scalable enterprise architecture solutions with security, scalability, and identity management considerations
Cloud & DevOps: Hands-on experience with AWS, GCP, or Azure at enterprise scale
modern DevOps practices (CI/CD, containers, observability)
System Integration: Comfortable integrating systems via APIs, webhooks, and event/data pipelines
Data-Driven Mindset: Use A/B testing, telemetry, and metrics to guide decisions and drive improvements

Job Responsibility

Design the detailed AI-driven business transformation, applied AI requirements, and architect the solution needed for customer needs
Design solutions (AI Agents, Skills, and workflows, etc.) that are aligned with industry best practices, meet the customer needs, and are reusable across other customers
Create and maintain Applied AI proposals, estimates, solution designs, detailed requirements and measurement framework for KPIs and outcomes
Design & Deploy AI Agents: Build and configure intelligent solutions leveraging snap-ins, connectors (AirSync), workflows, and AI agents on the DevRev platform to solve real customer problems
Integrate Systems: Connect AI agents with external platforms (e.g., CRMs, APIs, databases) for seamless workflow automation
Optimize Performance: Tune prompts, logic, and agent configurations for accuracy, reliability, and scalability
Own Requirements: Partner with customers to deeply understand their needs and translate them into technical agent specifications
Prototype & Iterate: Lead live demos, build rapid proof-of-concepts, and refine solutions through customer feedback
Advise Customers: Act as a trusted technical advisor on AI agent architecture, performance, and long-term scalability
Travel Ready: Willingness to travel up to 50% for on-site discovery, deployment, and customer engagement

Fulltime

Lead Analytics Engineer - Data Modeling & Quality

Arcadia is the only healthcare data and software company dedicated to healthcare...

Location

United States

Salary:

Not provided

The Muse

Expiration Date

Until further notice

Requirements

Advanced SQL: window functions, complex CTEs, aggregation patterns, performance tuning on columnar databases
DBT: hands-on experience authoring models, tests, macros, and yml documentation
familiarity with incremental strategies
Healthcare data literacy: working knowledge of claims data (professional, institutional, pharmacy), clinical data (EHR entities), and common quality dimensions (member months, coverage rates, null patterns)
Data quality mindset: ability to differentiate source data issues from transform issues, design systematic validation checks, and communicate data quality findings clearly
Clear communicator — able to translate technical findings for clients and non-technical stakeholders
Strong analytical judgment — you can look at a distribution and know when something is wrong
Ability to manage several projects simultaneously, leveraging AI tooling to stay organized and efficient
Genuine desire to learn and apply AI tools for operational efficiency

Job Responsibility

DATA MODELING & DBT DEVELOPMENT: Author, review, and maintain DBT models using Spark/Hudi from ingest through bronze and silver
Help clients understand their data model, assumptions, and limitations through intentional validation
Troubleshoot and fix issues, then write DBT tests to catch issues proactively
Optimize SQL performance for slow-running jobs
Partner with Data Engineering on Hudi table design, partition strategy, and incremental patterns
DATA QUALITY OWNERSHIP: Triage and classify data quality alerts, distinguishing source-level issues from transform-layer failures
Design and maintain volume monitors and DQ monitors (null rate, distribution, future-date checks)
Author and apply clinical DQ rules (entity volume, field coverage, LOINC coverage, referential integrity) and claims validation rules across silver and gold layers
Conduct quality reviews for connector promotions — evaluating silver entity coverage, validation rule pass rates, and bronze-to-silver transformation correctness
Own the ticket queue for DQ, attribution, hierarchy, and customer-specific data quality issues, writing clear customer-facing findings

What we offer

Pet Insurance
Health Insurance
Dental Insurance
Vision Insurance
FSA
HSA
HSA With Employer Contribution
Life Insurance
Short-Term Disability
Long-Term Disability

Ai Automation Consultant

We're seeking an AI Automation Consultant to join our Client Services team. You'...

Location

United States , Miami

Salary:

Not provided

Maisa

Expiration Date

Until further notice

Requirements

Demonstrable experience in automation development, low-code/no-code platforms, or technical implementation roles
Hands-on experience working with APIs and integrations in a delivery context
Demonstrated ability to learn new platforms quickly, with evidence of working across multiple tools
Ability to ship under pressure without sacrificing reliability
pragmatic, not perfectionist
Strong attention to detail in configuration, testing, and documentation
Hands-on experience applying AI in practical contexts, beyond prompting ChatGPT
Professional fluency in Spanish and English
Bachelor's or Master's degree in IT, Engineering, or related field

Job Responsibility

Build and configure Digital Worker configurations in Maisa Studio based on technical specifications from the Solutions Architect
Configure integrations including APIs, connectors, and data flows as defined in the solution design
Raise specification gaps or feasibility issues early
Own and execute UAT with production data, documenting results and resolving defects
Certify that Digital Workers meet defined KPIs and success criteria before go-live
Collaborate with the Solutions Architect during UAT to confirm the build matches the designed experience
Manage go-live deployment following established procedures
Hand over to operations with complete documentation: configuration details, known limitations, runbooks, and support notes
Ensure operational teams have everything they need to maintain the Digital Worker post-launch
Partner closely with the Solutions Architect

Fulltime

Ai Automation Consultant

We're seeking an AI Automation Consultant to join our Client Services team. You'...

Location

Germany , Düsseldorf

Salary:

Not provided

Maisa

Expiration Date

Until further notice

Requirements

Demonstrable experience in automation development, low-code/no-code platforms, or technical implementation roles
Hands-on experience working with APIs and integrations in a delivery context
Demonstrated ability to learn new platforms quickly, with evidence of working across multiple tools
Ability to ship under pressure without sacrificing reliability
pragmatic, not perfectionist
Strong attention to detail in configuration, testing, and documentation
Hands-on experience applying AI in practical contexts, beyond prompting ChatGPT
Native German, Professional fluency in English, Spanish is a plus not a must
Bachelor's or Master's degree in IT, Engineering, or related field

Job Responsibility

Build and Configure: Implement Digital Worker configurations in Maisa Studio based on technical specifications from the Solutions Architect
Configure integrations including APIs, connectors, and data flows as defined in the solution design
Raise specification gaps or feasibility issues early
don't wait, don't assume
Test and Validate: Own and execute UAT with production data, documenting results and resolving defects
Certify that Digital Workers meet defined KPIs and success criteria before go-live
Collaborate with the Solutions Architect during UAT to confirm the build matches the designed experience
Deploy and Hand Over: Manage go-live deployment following established procedures
Hand over to operations with complete documentation: configuration details, known limitations, runbooks, and support notes
Ensure operational teams have everything they need to maintain the Digital Worker post-launch

Fulltime

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Connector Developer - Applied AI Engineering

Job Description

Job Responsibility

Requirements

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Connector Developer - Applied AI Engineering

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