Logixal Hiring 2026 | Associate Software Engineer – Generative AI | Mumbai / Bengaluru | Apply Now
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Logixal Hiring – Associate Software Engineer – Generative AI Opportunity
Logixal is hiring for the position of Associate Software Engineer – Generative AI in Mumbai / Bengaluru, India. This opportunity is suitable for candidates with a Bachelor's degree in Computer Science, with a Master's degree preferred, and at least 6 months of experience in Generative AI-based application development.
Candidates should have practical knowledge of Generative AI, Python, Large Language Models (LLMs), AI/ML application development, model optimization, APIs, microservices, and cloud platforms. The role involves developing, integrating, optimizing, and deploying Generative AI solutions for business applications.
About Logixal
Logixal is a technology and software solutions company that provides digital, data, cloud, and technology services to organizations. The role provides an opportunity to work on Generative AI and AI/ML application development using modern AI technologies and cloud platforms.
Job Details
Company Name: Logixal
Position: Associate Software Engineer – Generative AI
Qualification: Bachelor's degree in Computer Science
Preferred Qualification: Master's degree preferred
Academic Requirement: Minimum 60% / CGPA 6.5 or above
Experience: Minimum 6 months of Generative AI-based application development
Location: Mumbai / Bengaluru, India
Employment Type: Not Mentioned
Salary: Not Disclosed
Eligibility Criteria
- Bachelor's degree in Computer Science.
- Master's degree is preferred.
- Minimum academic score of 60% or CGPA 6.5 or above.
- Minimum 6 months of experience in Generative AI-based application development.
- Strong knowledge of Python.
- Understanding of Generative AI and Large Language Models.
- Knowledge of AI/ML application development.
- Understanding of APIs and microservices.
- Knowledge of cloud platforms such as AWS, Azure, or GCP.
- Strong analytical and problem-solving skills.
- Good English communication skills.
Job Description
Logixal is looking for an Associate Software Engineer – Generative AI to develop and integrate Generative AI solutions using Large Language Models and modern AI technologies.
The selected candidate will work on AI/ML application development, custom LLM solutions, model optimization, fine-tuning, APIs, microservices, cloud deployment, and data pipelines. The role requires candidates to follow software development best practices and work within established SDLC methodologies.
Key Responsibilities
- Develop and integrate Generative AI solutions using Large Language Models.
- Build AI and Machine Learning applications using Python.
- Deploy custom LLM solutions using various Generative AI platforms.
- Work with OpenAI, Gemini, Perplexity, Claude, Ollama, Grok, and other GenAI technologies.
- Use TensorFlow, PyTorch, Scikit-learn, or Keras for AI/ML development.
- Optimize AI models for performance and scalability.
- Fine-tune AI models based on application requirements.
- Develop APIs and microservices for integrating AI models with applications.
- Deploy AI applications using AWS, Azure, or GCP.
- Build and maintain data pipelines for AI workflows.
- Follow coding best practices and software engineering standards.
- Work according to Agile or Waterfall development methodologies.
- Follow Software Development Life Cycle (SDLC) processes.
- Collaborate with technical teams during AI application development and deployment.
Key Skills Required
- Generative AI
- Python
- Large Language Models (LLMs)
- OpenAI
- Gemini
- Perplexity
- Claude
- Ollama
- Grok
- TensorFlow
- PyTorch
- Scikit-learn
- Keras
- Machine Learning
- ML Ops
- AI/ML Application Development
- Model Optimization
- Model Fine-tuning
- APIs
- Microservices
- AWS
- Azure
- GCP
- Data Pipelines
- Agile
- Waterfall
- SDLC
- Coding Best Practices
- Analytical Skills
- Problem-Solving Skills
- English Communication
Generative AI & LLM Skills
- Generative AI: Development and integration of AI-powered applications.
- LLMs: Experience working with Large Language Models.
- AI Platforms: Exposure to OpenAI, Gemini, Perplexity, Claude, Ollama, and Grok.
- Model Customization: Optimization and fine-tuning of AI models.
- AI Applications: Building and integrating Generative AI solutions into applications.
Machine Learning Skills
- Machine Learning
- TensorFlow
- PyTorch
- Scikit-learn
- Keras
- Model Optimization
- Model Fine-tuning
- ML Ops
- AI/ML Application Development
Cloud & Application Development
- AWS
- Microsoft Azure
- Google Cloud Platform (GCP)
- APIs
- Microservices
- Cloud-based AI Applications
- Data Pipelines
- AI Model Deployment
Software Development Practices
- Software Development Life Cycle (SDLC)
- Agile Methodology
- Waterfall Methodology
- Coding Best Practices
- Application Integration
- Model Performance Optimization
- Scalable Software Development
Preferred Skills
- Hands-on experience developing Generative AI applications.
- Strong Python programming skills.
- Practical knowledge of LLM-based applications.
- Experience with AI model optimization and fine-tuning.
- Knowledge of modern Generative AI platforms.
- Experience with TensorFlow, PyTorch, Scikit-learn, or Keras.
- Understanding of ML Ops and AI deployment.
- Knowledge of APIs and microservices.
- Experience with AWS, Azure, or GCP is beneficial.
- Strong analytical and problem-solving skills.
- Good English communication skills.
Academic Requirement
Candidates should have a minimum academic score of 60% or CGPA 6.5 and above, as specified in the provided job information.
Experience Requirement
Candidates should have a minimum of 6 months of experience in Generative AI-based application development.
Candidates with practical experience in LLM applications, AI/ML development, model optimization, APIs, cloud deployment, or related Generative AI technologies may be well suited for this opportunity.
Selection Process
- Application / Resume Submission
- Resume Screening
- Technical Screening
- Generative AI / Technical Assessment
- Technical Interview
- HR / Final Discussion
- Final Selection
The actual selection process may vary depending on Logixal's recruitment requirements.
Why Apply?
- Opportunity to work on Generative AI applications.
- Gain practical exposure to Large Language Models.
- Work with multiple modern GenAI platforms.
- Develop AI/ML applications using Python.
- Gain experience with TensorFlow, PyTorch, Scikit-learn, and Keras.
- Develop skills in AI model optimization and fine-tuning.
- Gain exposure to ML Ops and AI deployment.
- Work with APIs and microservices.
- Gain experience with AWS, Azure, or GCP.
- Build experience with AI data pipelines.
- Develop professional software engineering and SDLC practices.
Who Should Apply?
- Computer Science graduates.
- Bachelor's degree holders in Computer Science.
- Master's degree candidates or graduates in relevant fields.
- Candidates with at least 6 months of Generative AI application development experience.
- AI/ML application developers.
- Generative AI developers.
- Python developers with AI/ML experience.
- Candidates with LLM development experience.
- Candidates experienced in AI model optimization and fine-tuning.
- Candidates with experience in AI APIs and microservices.
- Candidates familiar with cloud-based AI solutions.
How to Apply?
Interested and eligible candidates can view the complete job description and application details through the provided Logixal job document.
Candidates should review the complete qualification requirements, academic criteria, experience requirements, location, salary information, and other job details before applying.
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Disclaimer
The recruitment details are based on the provided Logixal job information. Candidates should verify the latest qualification requirements, academic criteria, experience requirements, job status, location, salary, application process, and other details from the official Logixal job description before applying.
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Logixal Hiring 2026 | Associate Software Engineer – Generative AI | Mumbai / Bengaluru | Apply Now
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Logixal Hiring 2026 for Associate Software Engineer – Generative AI in Mumbai/Bengaluru. Candidates with 6+ months GenAI experience, Python, LLM, ML, and cloud skills can apply.
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