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Mobile Full Stack Python Developer Jobs in Fort Wayne, IN

GARGI TECHNOLOGIES INC

AI / GenAI Engineer

Ohio City, OH

$97K - $131K/yr

... stack. Thus, a commitment to collaborative problem solving, robust system design, evaluation-driven ... Need Experience range in between 2-7 Years Key Skill Requirements: 1. Strong proficiency in Python ...

Traction Ag, Inc.

Principal AI Systems Engineer

Auburn, IN · On-site +1

$170K - $190K/yr

Proficiency in Python, Node, Angular, and TypeScript; comfortable working across the stack from ... Experience building internal developer platforms, plugin systems, or self-service tooling for non ...

Traction Ag Inc.

Principal AI Systems Engineer

Auburn, IN · On-site

$170K - $190K/yr

Proficiency in Python, Node, Angular, and TypeScript; comfortable working across the stack from ... Experience building internal developer platforms, plugin systems, or self-service tooling for non ...

L3HHCM20

Artificial Intelligence Specialist

Fort Wayne, IN · On-site +1

$109K - $203K/yr

This is an ideal opportunity for an engineer pursuing AI/ML application engineering, platform ... Python web/API development (FastAPI, Flask, Django) Local AI model stacks (vLLM, LiteLLM, Ollama ...

Varsity Tutors

HTML Tutor

Fort Wayne, IN · Remote

$40/hr

... engineering pathways. * Conceptual Teaching & Problem-Solving: Skilled at teaching web page ... full-stack web development skills. * Effective Teaching Methods: Ability to identify concepts ...

FocusKPI

Marketing Operations Analyst

Fort Wayne, IN · On-site

... stack. Responsibilities: * Audience Targeting: Develop and implement audience segmentation ... Collaborate with cross-functional teams such as IT and engineering to integrate data from various ...

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All JobsMobile Full Stack Python Developer JobsMobile Full Stack Python Developer Jobs in Fort Wayne, IN

Mobile Full Stack Python Developer information

See Fort Wayne, IN salary details

$58.7K

$128.1K

$181.1K

How much do mobile full stack python developer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for mobile full stack python developer in Fort Wayne, IN is $128,069.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $149,000.00 per year, depending on experience, location, and employer.

Is there demand for Python full stack developer?

Python full stack developers are in high demand due to their ability to handle both front-end and back-end development using frameworks like Django and Flask. Companies value these skills for building scalable web applications, and demand is expected to grow as Python remains a popular programming language in tech industries.

How much does a full-stack Python developer make?

A full-stack Python developer's salary typically ranges from $70,000 to $130,000 annually, depending on experience, location, and skill set. Developers with expertise in frameworks like Django or Flask and experience with front-end technologies may command higher salaries.

Which pays more, C++ or Python?

For a Mobile Full Stack Python Developer, Python generally offers higher salaries due to its widespread use in web development, data science, and automation, while C++ skills are often valued in systems programming and performance-critical applications. Salary differences depend on industry, experience, and location, but Python developers tend to have more job opportunities and higher average pay in many regions.

What is the difference between Mobile Full Stack Python Developer vs Web Full Stack Python Developer?

AspectMobile Full Stack Python DeveloperWeb Full Stack Python Developer
Primary FocusDeveloping mobile applications with Python backend integrationBuilding web applications using Python frameworks
Skills RequiredMobile app development, Python, APIs, UI/UX for mobileWeb development, Python, HTML/CSS, JavaScript
Work EnvironmentMobile app projects, cross-platform tools, mobile testingWeb servers, browsers, web hosting environments
Common EmployersMobile app companies, startups, tech firmsWeb development agencies, SaaS companies, enterprises

The main difference between a Mobile Full Stack Python Developer and a Web Full Stack Python Developer lies in their focus areas. The mobile role centers on creating mobile applications with Python backend support, while the web role emphasizes building web-based platforms. Both roles require Python expertise but differ in tools, environments, and end-user platforms.

Will Fullstack be replaced by AI?

Full Stack Python Developers perform tasks that involve designing, coding, and maintaining both frontend and backend applications, which require problem-solving and creativity that AI currently cannot fully replicate. While AI tools can assist with coding and automation, human expertise remains essential for complex development, architecture, and decision-making in full stack roles.
What are the most commonly searched types of Full Stack Python Developer jobs in Fort Wayne, IN? The most popular types of Full Stack Python Developer jobs in Fort Wayne, IN are:
What are popular job titles related to Mobile Full Stack Python Developer jobs in Fort Wayne, IN? For Mobile Full Stack Python Developer jobs in Fort Wayne, IN, the most frequently searched job titles are:
What job categories do people searching Mobile Full Stack Python Developer jobs in Fort Wayne, IN look for? The top searched job categories for Mobile Full Stack Python Developer jobs in Fort Wayne, IN are:
What cities near Fort Wayne, IN are hiring for Mobile Full Stack Python Developer jobs? Cities near Fort Wayne, IN with the most Mobile Full Stack Python Developer job openings:
Mobile Full Stack Python Developer jobs near you

AI / GenAI Engineer

GARGI TECHNOLOGIES INC

Ohio City, OH

$97K - $131K/yr

Other

Posted 14 days ago

Job description

Job Description:

Role: AI / GenAI Engineer (Multiple Openings)

Location: Jersey City, NJ / Atlanta, GA / Tampa, FL / Raleigh, NC / Ohio City, OH

Job Type: Full Time


Job Description:

We are looking for an AI / GenAI Engineer responsible for designing, building, and deploying production-grade Generative AI applications and agentic systems. This includes everything from prompt engineering and RAG pipelines to multi-agent orchestration, fine-tuning, and integrating LLMs into scalable backend services. Your primary responsibility will be to architect and develop these AI-powered solutions, and to coordinate with the rest of the team working on different layers of the application, data, and infrastructure stack. Thus, a commitment to collaborative problem solving, robust system design, evaluation-driven development, and responsible AI practices is essential.

Need Experience range in between 2-7 Years


Key Skill Requirements:

1. Strong proficiency in Python with hands-on experience building LLM-powered applications using frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or AutoGen.

2. Deep understanding of LLM fundamentals including prompt engineering, tokenization, embeddings, context windows, function/tool calling, structured outputs, and techniques like RAG (Retrieval-Augmented Generation), fine-tuning (LoRA / QLoRA / PEFT), and evaluation (RAGAS, LLM-as-a-judge).

3. Hands-on experience working with foundation models from providers such as OpenAI, Anthropic (Claude), Google (Gemini), Meta (Llama), or Mistral, along with vector databases (Pinecone, Weaviate, Chroma, FAISS, Milvus) and orchestration of multi-agent and tool-using systems.

4. Strong backend development experience using FastAPI / Django REST Framework, exposure to Cloud Technologies (AWS Bedrock / Azure OpenAI / Google Cloud Platform Vertex AI), containerization (Docker, Kubernetes), and familiarity with SQL and NoSQL databases (PostgreSQL, MongoDB). Knowledge of MLOps/LLMOps tools (MLflow, LangSmith, Langfuse, Weights & Biases) and responsible AI practices (guardrails, PII handling, hallucination mitigation) is a strong plus.


Roles & Responsibilities:

1. Work closely with Team Leader, product managers, data scientists, and other team members to translate business requirements into GenAI-powered features and agentic workflows.

2. Get involved in the entire life-cycle including use-case discovery, prototyping, prompt and pipeline design, evaluation, deployment, and monitoring of LLM applications on the assigned delivery lines.

3. Do hands-on coding, build robust RAG and agent pipelines, design clean APIs, and implement rigorous evaluation and observability for LLM systems.

4. Focus on clean, high-quality, well-documented code, established design patterns, and engineering best practices for latency, cost, safety, and reliability of GenAI systems.

5. Continuously learn emerging models, frameworks, and techniques in the fast-moving GenAI space, implement them in real-world scenarios, and share learnings with other team members.

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