Associate Software Engineer, AI Job: Eligibility, Skills, Responsibilities and Application Details
An Associate Software Engineer, AI position is available in Bangalore Urban for candidates interested in building and enhancing next-generation AI and Generative AI (GenAI) products. The role is offered on a full-time, in-office basis, with relocation allowed but no visa sponsorship available.
The position is part of an AI-focused engineering team and involves responsibilities across the software and AI development lifecycle. Selected candidates will work on designing, developing and improving product features while also contributing to testing, deployment, scalability and security.
The role is particularly relevant for candidates with knowledge of Python, AI/ML, GenAI, MLOps, FastAPI, PyTest, Celery, REST APIs, databases and modern software development practices.
Associate Software Engineer, AI – Job Highlights
| Particular | Details |
|---|---|
| Job Role | Associate Software Engineer, AI |
| Job Type | Full Time |
| Location | Bangalore Urban |
| Work Mode | In Office |
| Experience | Listing summary says no experience required; detailed description mentions 3–6 months of AI Engineer experience |
| Qualification | Bachelor’s degree in Engineering or equivalent |
| Visa Sponsorship | Not Available |
| Relocation | Allowed |
| Primary Domain | AI / GenAI / Software Engineering |
| Key Programming Language | Python |
| Frameworks & Tools | FastAPI, PyTest, Celery, Terraform, GitHub Actions |
| AI Frameworks | LangChain, LangGraph |
| Databases | SQL and NoSQL, including MongoDB, MSSQL and PostgreSQL |
| Resume Format | Any format accepted; PDF or plain text recommended |
| Application Deadline | Not specified |
About the Associate Software Engineer, AI Role
The Associate Software Engineer, AI will work on AI and GenAI-based products and solutions, contributing to both new feature development and the ongoing enhancement of existing capabilities.
The position combines AI engineering with conventional software development. Along with developing features, the engineer will be expected to write unit and integration tests to maintain software reliability.
The role also involves working with different technologies and databases to support rapid product development while improving scalability, controls and security.
Key Responsibilities
The selected candidate may be involved in several stages of AI and software product development.
Develop AI and GenAI Solutions
The primary responsibility is to develop robust solutions for next-generation AI and GenAI products.
This includes contributing to:
- Product design
- Software development
- Feature enhancement
- AI engineering
- Testing
- Implementation
- Deployment
Participate in the AI Development Lifecycle
The role covers multiple stages of the AI lifecycle, including:
- Data collection
- Data preprocessing
- Model training
- Model evaluation
- Model deployment
This provides exposure to both the development and production aspects of AI systems.
Build and Test Software Features
Engineers will contribute to developing product features and ensuring that they remain reliable as the software evolves.
Unit and integration testing are specifically mentioned as part of the role.
Work With Multiple Technologies
The position involves working with various programming frameworks, databases and engineering tools to support scalable and secure product development.
Technical Skills Required
Candidates should have knowledge of AI technologies as well as fundamental software engineering concepts.
Python Development
Python is one of the primary technologies mentioned for the role.
The job description specifically lists:
- Python
- FastAPI
- PyTest
- Celery
- Other Python frameworks
Experience with these technologies can be relevant for backend development, testing and application workflows.
AI, Machine Learning and GenAI
Candidates should be familiar with:
- Artificial Intelligence
- Machine Learning
- Generative AI
- MLOps
The role requires an understanding of AI development beyond model experimentation, including evaluation and deployment.
Software Engineering Concepts
The position also requires familiarity with fundamental software engineering concepts such as:
- Object-oriented programming
- Concurrency
- Design patterns
- REST APIs
- Data structures and algorithms
- Scalable software design
LangChain and LangGraph
Familiarity with LangChain and LangGraph is mentioned among the technical requirements.
These technologies are particularly relevant to candidates working on applications involving modern GenAI workflows.
Databases
The role requires familiarity with both SQL and NoSQL databases.
The listing specifically mentions:
- MongoDB
- MSSQL
- PostgreSQL
CI/CD, Infrastructure and Source Control
Candidates should also have familiarity with CI/CD tooling and development infrastructure.
The job description mentions:
- Terraform
- GitHub Actions
- GitHub
- Bitbucket
Exposure to source control, automated development workflows and software delivery practices can therefore be useful for the position.
Educational Qualification
Candidates should have a bachelor’s degree in engineering or an equivalent qualification.
The provided listing does not specify:
- A particular engineering branch
- Minimum percentage
- Minimum CGPA
- Graduation year
- Specific university requirement
Experience Requirement
There is an important difference within the supplied job listing regarding experience.
The listing’s headline information states “No experience required.” However, the detailed requirements under “Related Experience” state that candidates should have 3 to 6 months of experience in the software industry as an AI Engineer.
Because the two sections are inconsistent, applicants should verify the current experience requirement with the employer or recruiter before applying.
Additional Skills That Can Strengthen Your Profile
The employer also highlights several qualities that can give candidates an advantage.
Initiative and Ownership
Candidates are expected to demonstrate initiative and take ownership of their work rather than waiting for instructions.
The description values individuals who can identify opportunities to improve the team or organisation, propose ideas and take responsibility for implementation.
Troubleshooting Ability
Strong troubleshooting and logical thinking are described as important for success in the role.
Candidates should be capable of:
- Analysing technical problems
- Applying logical reasoning
- Identifying root causes
- Resolving issues effectively
Communication Skills
Strong communication and interpersonal skills are also emphasised.
Candidates should be comfortable:
- Participating in technical discussions
- Initiating discussions
- Communicating clearly
- Listening carefully
- Adapting to different communication styles
- Working collaboratively with clients and teams
SDLC and Agile Knowledge
Exposure to mature Software Development Life Cycle (SDLC) practices is listed as an advantage.
Candidates with experience or familiarity in the following areas may have an additional advantage:
- Agile methodologies
- Unit testing
- Code coverage
- Security scanning tools
- Source control
- GitHub
- Bitbucket
Who Can Apply?
The role may be relevant to candidates who have:
- A bachelor’s degree in engineering or an equivalent qualification
- Knowledge of Python
- Understanding of AI/ML and GenAI
- Familiarity with MLOps
- Knowledge of software engineering fundamentals
- Experience or exposure to AI projects
- Familiarity with APIs and databases
- Understanding of testing and source control
- Strong troubleshooting and communication skills
However, applicants should take note of the experience discrepancy in the listing before determining eligibility.
Work Location and Relocation
The job is located in Bangalore Urban.
The work arrangement is explicitly listed as in office, meaning candidates should be prepared to work from the designated workplace.
The listing states that relocation is allowed. At the same time, visa sponsorship is not available.
Resume Format
The employer accepts resumes in any format but recommends using either:
- Plain text
For this AI engineering position, candidates can consider making relevant technical experience easy to identify on their resume.
Useful areas to highlight include:
- Python projects
- AI/ML projects
- GenAI applications
- FastAPI
- LangChain or LangGraph
- Database projects
- API development
- Testing
- MLOps
- GitHub
- CI/CD
- Cloud or deployment experience
Application Tips
Candidates can improve the clarity of their application by focusing on practical examples rather than simply listing technologies.
Highlight Relevant Projects
Include AI, ML or GenAI projects that demonstrate your ability to build working solutions.
Show Software Engineering Fundamentals
Projects involving APIs, databases, testing, Git, deployment or scalable application design can demonstrate broader engineering skills.
Demonstrate Problem-Solving
Mention situations where you diagnosed bugs, solved technical problems or improved an existing implementation.
Show Ownership
Personal projects, internships and academic projects can demonstrate initiative when you explain what you personally designed, built or improved.
Keep the Resume Easy to Review
Since the employer recommends PDF or plain-text resumes, use a clean structure with clearly identifiable sections for skills, projects, education and experience.
Selection Process
The supplied job description does not provide details about the recruitment or interview process.
Therefore, the number of interview rounds, coding assessments, technical discussions or other selection stages should not be assumed from the information provided.
Salary and Compensation
The job listing supplied does not mention a specific salary or compensation range.
Candidates should verify compensation details through the current job posting or directly with the recruiter.
Important Points to Remember
- The position is Associate Software Engineer, AI.
- It is a full-time opportunity.
- The job is located in Bangalore Urban.
- The work arrangement is in office.
- Relocation is allowed.
- Visa sponsorship is not available.
- A bachelor’s degree in engineering or equivalent is required.
- Python is a key technical skill.
- AI/ML, GenAI and MLOps knowledge is expected.
- FastAPI, PyTest and Celery are among the Python technologies mentioned.
- LangChain and LangGraph are also listed.
- SQL and NoSQL database familiarity is required.
- Knowledge of DSA, OOP, concurrency, design patterns and REST APIs is expected.
- SDLC and Agile exposure can provide an advantage.
- The listing has conflicting information about the experience requirement.
- Salary and application deadline are not specified in the supplied information.
- PDF or plain-text resumes are recommended.
Frequently Asked Questions
What is the Associate Software Engineer, AI job?
It is a full-time AI engineering role focused on developing and enhancing AI and GenAI-based products and solutions.
Where is the job located?
The position is located in Bangalore Urban.
Is the job remote?
No. The supplied listing specifies an in-office work policy.
What qualification is required?
A bachelor’s degree in engineering or equivalent is specified.
Is prior experience required?
The listing contains conflicting information. The summary says no experience is required, while the detailed requirements mention 3–6 months of software-industry experience as an AI Engineer.
Which programming language is required?
Python is the primary programming language mentioned.
What frameworks and tools are mentioned?
The listing includes FastAPI, PyTest, Celery, Terraform, GitHub Actions, LangChain and LangGraph, along with GitHub and Bitbucket.
Which databases are mentioned?
The job description mentions SQL and NoSQL databases, including MongoDB, MSSQL and PostgreSQL.
Is relocation available?
Yes. The listing states that relocation is allowed.
Is visa sponsorship available?
No. The listing states that visa sponsorship is not available.
What resume format should applicants use?
Resumes can be submitted in any format, but PDF or plain text is recommended.
What is the salary for this position?
The salary is not specified in the supplied job listing.
What is the application deadline?
The application deadline is not specified in the provided information.
Conclusion
The Associate Software Engineer, AI opportunity in Bangalore Urban is focused on building AI and GenAI products while applying strong software engineering practices. The role covers Python development, AI/ML, GenAI, MLOps, APIs, databases, testing, CI/CD and scalable software design.
Candidates with engineering degrees and relevant AI or software-development skills can consider this opportunity, particularly if they can demonstrate practical projects, troubleshooting ability, ownership and strong communication.
Applicants should carefully verify the experience requirement, as the listing summary says no experience is required while the detailed description mentions 3–6 months of AI Engineer experience. Compensation, selection stages and the application deadline are also not provided in the supplied listing.