Filuet
Software Architect
Skills
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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