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Ai Backend Developer Jobs in Indiana (NOW HIRING)

AI GTM Developer

Indianapolis, IN · On-site

$53 - $70.25/hr

Comfortable working across frontend, backend, APIs, databases, and cloud services. * Hands-on ... Build and launch multiple AI products that become core tools for our Solutions Engineering, Sales ...

... AI-assisted development practices. Position Summary The Software Developer will be responsible for designing, developing, testing, and supporting backend applications and services within our AWS ...

... AI-assisted development practices. Position Summary The Software Developer will be responsible for designing, developing, testing, and supporting backend applications and services within our AWS ...

... AI-assisted development practices. Position Summary The Software Developer will be responsible for designing, developing, testing, and supporting backend applications and services within our AWS ...

Backend & API Engineering: Designing scalable, secure services that power complex workflows and ... Use AI tools to accelerate coding, testing, debugging, and documentation while applying strong ...

... and developer experience. * Work with various groups within Cisco to understand their and our ... the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that ...

About the Role We're looking for a Software Engineer who builds and operates the AI-native backend systems powering our go-to-market motion. You'll design multi-agent architectures, build reliable ...

You enjoy working across the entire stack, from designing backend services and APIs to crafting ... Experience with modern DevOps and cloud-native development, including containerization, CI/CD ...

Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML/AI applications. * Actively engage with diverse ...

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Ai Backend Developer information

How does an AI backend developer interact with data scientists and frontend teams?

As an AI Backend Developer, you will frequently collaborate with data scientists to integrate machine learning models into scalable backend systems. This involves translating prototypes into production-ready APIs, ensuring data pipelines are robust, and optimizing inference performance. You’ll also work closely with frontend teams to define API contracts and ensure that data flows smoothly between the user interface and backend processes. Effective communication and teamwork are essential, as these collaborations help deliver seamless AI-powered features to end users.

What skills and qualifications are needed to be an AI backend developer?

To thrive as an AI Backend Developer, you need strong programming skills (especially in Python or Java), a solid grasp of machine learning concepts, and experience with backend frameworks, supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS or Azure), containerization tools (such as Docker), and frameworks like TensorFlow or PyTorch is typically required, along with knowledge of RESTful APIs and databases. Problem-solving abilities, teamwork, and clear communication are essential soft skills that help navigate complex projects and collaborate with cross-functional teams. These technical and interpersonal skills ensure robust, scalable AI solutions are developed and maintained efficiently in a rapidly evolving field.

What is the difference between Ai Backend Developer vs Data Engineer?

AspectAi Backend DeveloperData Engineer
Required CredentialsBachelor's in CS, AI, or related fields; knowledge of AI frameworksBachelor's in CS, Data Science, or related fields; expertise in data pipelines
Work EnvironmentDeveloping AI models, integrating AI into backend systemsBuilding and maintaining data infrastructure and pipelines
Employer & Industry UsageTech companies, AI startups, enterprises integrating AIData-driven companies, finance, healthcare, tech firms

While both roles require strong programming skills and familiarity with data processing, Ai Backend Developers focus on integrating AI models into backend systems, whereas Data Engineers specialize in building data pipelines and infrastructure. Both roles are essential in AI-driven projects but serve different functions within the data ecosystem.

What is an AI backend developer?

AI Backend Developers are software engineers who specialize in building and maintaining the server-side infrastructure that powers artificial intelligence applications. They design APIs, manage databases, and implement algorithms that support machine learning models and AI-driven features. Their work ensures that AI systems are scalable, efficient, and securely integrated with other services. AI Backend Developers often work closely with data scientists and frontend developers to deliver end-to-end AI solutions.

What is the salary of AI backend developer?

The salary of an AI backend developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Skilled developers with expertise in machine learning frameworks, programming languages like Python, and cloud platforms tend to earn higher salaries.
What cities in Indiana are hiring for Ai Backend Developer jobs? Cities in Indiana with the most Ai Backend Developer job openings:

Backend Engineer (Integrations)

Bioscope AI

Carmel, IN • On-site

Full-time

Medical, Dental, Vision

Posted 9 days ago


Job description

Backend Engineer (Integrations)
Bioscope.AI | Carmel, IN (Hybrid) | Full-Time
About Bioscope.AI
Bioscope.AI is an early-stage precision medicine company redefining how concierge, functional, and longevity practices deliver care. By integrating whole-genome sequencing, multi-omic data, and AI-driven clinical intelligence, our platform gives practitioners unprecedented insight into patient health before disease strikes. We're building the infrastructure for the future of precision health, and we need founding builders ready to shape it.
The Opportunity
This is a role for a builder who wants to own the connective tissue of our platform. As part of the integrations team, you will be responsible for wiring Bioscope into the sprawling ecosystem of systems that concierge and functional medicine practices rely on: electronic health records, diagnostic labs, and third-party clinical data sources. This is the plumbing that makes precision medicine actually work at the point of care.
Integrations are hard. The systems are messy, the standards are inconsistently implemented, and the documentation is often wrong. You will spend your days reverse-engineering APIs, untangling authentication flows, and building resilient pipelines that move sensitive clinical data reliably and securely. When a partner changes their API without warning and something breaks, you're the kind of person who wants to understand exactly why and fix it properly.
This work sits close to the foundation of everything we build. Every integration you ship directly expands what our platform can do and how many practices we can serve.
What You'll Do
  • Own Integrations End-to-End: You will design, build, and maintain integrations with EHR systems, lab partners, and other third-party clinical data sources. From first API call to production monitoring, these are yours.
  • Wrangle Messy Systems: You will reverse-engineer poorly documented APIs, navigate inconsistent standards, and build robust pipelines that handle real-world edge cases gracefully. You treat other people's broken systems as a puzzle to solve, not a reason to give up.
  • Build for Reliability and Security: You will move sensitive clinical data, so you will build with security, auditability, and resilience as first-class concerns. You sweat the details because patients and practitioners depend on them.
  • Be Accountable: You will own your work from commit to production. When something breaks, you dig in and fix it. You follow through, you communicate clearly, and you do what you say you'll do.
  • Collaborate Across the Stack: You will work closely with the integrations lead and the broader engineering team to make sure your work fits cleanly into the larger platform.

What We Look For
  • The Right Attitude: This is the most important thing. You are willing to take on hard, detailed work and see it through. You are relentlessly accountable, you take ownership of problems, and you don't need to be chased. You have a "get it done" mentality and the grit to push through the frustrating parts.
  • Self-Directed Execution: You thrive in ambiguity and a fast-paced environment where priorities can shift. Give you a hard problem and a direction, and you will figure out the rest.
  • Strong Engineering Fundamentals: You write clean, maintainable backend code and you understand how to build systems that are reliable, secure, and debuggable.
  • Clear Communication: You can explain technical tradeoffs clearly and keep collaborators informed, especially when things get complicated.

Nice to Haves
  • Backend-oriented experience with Python, FastAPI, and AWS.
  • Experience working with LLM APIs and modern AI development tooling.
  • Direct experience integrating with EHRs (e.g., Elation, Athenahealth, Cerbo, Practice Better) or diagnostic labs.
  • Familiarity with healthcare data standards like FHIR and HL7.
  • Understanding of medical coding and clinical terminology (e.g., LOINC, ICD, SNOMED) is a big plus.
  • A background or strong interest in healthtech, genomics, or precision medicine.

What We Offer
  • Competitive base salary commensurate with experience.
  • Meaningful early-stage equity; you are a true owner.
  • Direct, unfiltered access to leadership and a front-row seat to company building.
  • Health, dental, and vision benefits.
  • A highly flexible, non-traditional work environment with incredible autonomy.