Senior Software Engineer (Python)

Dash Technologies Inc; Ahmedabad District; On-site; INR 1,500,000 - 3,500,000; Full time

Job summary

Dash Technologies Inc in Ahmedabad, Gujarat seeks a Senior Software Engineer with 5+ years of Python development to build AI-driven applications and platforms. You will work on prompt engineering, FastAPI microservices, data handling, and contribute to multiple AI initiatives across the organization.

The ideal candidate is hands-on, comfortable with ambiguity, and eager to create real-world AI solutions. You will design, develop, and maintain backend services, APIs, and pipelines, collaborating

Qualifications

• 5+ years of professional Python development experience.
• Strong AI/ML concepts understanding, especially LLM-based systems.
• Experience with prompt engineering and model interaction patterns.
• Hands-on backend/API design with production APIs using FastAPI.
• Experience with SQL and/or NoSQL databases.
• Familiarity with asynchronous programming and scalable APIs.

Responsibilities

• Design, develop, and maintain Python AI applications and FastAPI microservices.
• Perform prompt engineering and optimization for LLM workflows.
• Build pipelines for processing unstructured and semi-structured data.
• Develop RESTful APIs and backend services for AI workflows.
• Work with databases to persist, validate, and analyze AI outputs.
• Implement robust error handling and retry mechanisms in API layers.
• Collaborate with architects to translate requirements into scalable solutions.
• Contribute to AI proofs-of-concepts and rapid prototypes.
• Optimize performance, reliability, and cost; support async patterns.
• Write clean, documented code with OpenAPI/Swagger docs.

Skills

Python

FastAPI

AI/ML concepts

Prompt engineering

API design

Asynchronous programming

SQL/NoSQL

Data processing

Debugging

Ownership

Tools

OpenAPI/Swagger

SQL

NoSQL

Job description

We are looking for a Senior Software Engineer with 5+ years of experience to build and enhance AI-driven applications and platforms.

This role involves prompt engineering, Python backend development (including FastAPI), data handling, and contributing to multiple AI initiatives and proof-of-concepts across the organization.

The ideal candidate is hands-on, comfortable with ambiguity, and enjoys working on real-world problems using AI.

Key Responsibilities

• Design, develop, and maintain Python-based AI applications and services, including FastAPI-based microservices and APIs.
• Perform prompt engineering and prompt optimization for LLM-based workflows
• Build reliable pipelines for processing unstructured and semi-structured data
• Develop and integrate RESTful APIs and backend services supporting AI workflows using FastAPI and related tooling.
• Work with databases and data stores to persist, validate, and analyze AI outputs
• Implement robust error handling, validation, and retry mechanisms in API and service layers.
• Collaborate with architects and stakeholders to translate requirements into scalable, performant solutions
• Contribute to AI proof-of-concepts, experiments, and rapid prototypes
• Optimize solutions for performance, reliability, and cost, including async and high-load API patterns.
• Write clean, maintainable, and well-documented code with appropriate API documentation (e.g., OpenAPI/Swagger via FastAPI).

Required Skills & Experience

• 5+ years of professional experience in Python development
• Strong understanding of AI/ML concepts, especially LLM-based systems
• Experience with prompt engineering and model interaction patterns
• Solid background in backend development and API design, with hands-on experience building production APIs using FastAPI.
• Experience working with databases (SQL and/or NoSQL)
• Familiarity with asynchronous programming patterns and scalable API architectures (as commonly used with FastAPI).
• Strong problem-solving and debugging skills
• Ability to work independently and take ownership of deliverables

Nice to Have

• Experience building AI-driven or data-intensive systems
• Exposure to cloud-based environments (AWS/GCP/Azure)
• Familiarity with asynchronous or distributed processing (e.g., task queues, event-driven architectures)
• Experience with rapid prototyping and experimentation
• Understanding of evaluation, accuracy, and quality metrics for AI systems
• Experience integrating FastAPI services with frontend applications or other backend systems.

What We're Looking For

• Someone who can think beyond prompts and build complete systems
• Comfortable working on multiple AI initiatives, not just a single project
• Strong engineering fundamentals with a practical AI mindset
• Bias toward execution and ownership, including designing and owning API contracts and service reliability.