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Software Architect

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Onsite

Software Architect

Filuet

Software Architect

Skills

Deep LearningDjangoFlaskPythonPyTorchTensorFlowAmazon EC2AWS LambdaGitMachine LearningAIAWSNLP / Natural Language ProcessingFastAPI

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹800,000 – ₹1,200,000 / year

Location:

Ahmedabad, Gujarat, India

Work mode:

Onsite

Published on:

17 August 2026

What they need


We are posting this job on behalf of our client.

Job Position: Sr. Software Engineering (Python, AI/ML, GenAI & LLM)

Location: Thaltej, Ahmedabad

Job Description

We are looking for highly skilled and motivated Sr.Software Engineering – Python, AI/ML, GenAI & LLM to lead our software development and AI engineering initiatives. The ideal candidate will possess deep expertise in Python, AI/ML, and hands-on experience with GenAI and LLMs. As a team lead, you will mentor engineers, drive architecture and design decisions, and lead the development of intelligent and scalable backend systems.

Responsibilities:

  • Lead and mentor a cross-functional team of developers and AI/ML engineers.
  • Architect and implement backend services using Python and modern frameworks.
  • Guide the development and deployment of GenAI and LLM-based solutions for real-world applications.
  • Collaborate with data scientists and product teams to build intelligent features and systems.
  • Research, fine-tune, and implement LLMs (e.g., OpenAI, Hugging Face Transformers, LLaMA, etc.).
  • Integrate LLMs into production systems and optimize their performance and cost-efficiency.
  • Design and expose APIs for front-end and third-party integrations.
  • Ensure code quality, scalability, and maintainability through code reviews and testing.
  • Manage project timelines, delegate tasks, and ensure timely delivery.
  • Stay updated on the latest advancements in AI/ML, GenAI, and cloud computing.

Required Qualifications & Skills

  • Bachelor's/Master’s degree in Computer Science, Engineering, or related field.
  • Strong expertise in frameworks like Django, FastAPI, or Flask.
  • Solid understanding of GenAI, prompt engineering, and transformer architectures.
  • Hands-on experience with LLM frameworks such as OpenAI, Hugging Face, Langchain, or similar.
  • Practical knowledge of NLP, deep learning, and model fine-tuning techniques.
  • Experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn.
  • Proficient in REST API development and integration.
  • Familiarity with AWS services (S3, EC2, Lambda) or similar cloud platforms.
  • Strong understanding of OOP, system design, and multi-threaded applications.
  • Familiarity with version control tools like Git.
  • Excellent problem-solving, leadership, and communication skills.

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