Hiringhood
Create a free account
One signup unlocks everything for this job:
- Apply to this job and track your application
- See your personalized profile match score
- Generate an AI cover letter for this role
Thiruvananthapuram · On-site · 1-3 Yrs · 3 days ago
1 to 50 Employees · Kondapur, India
Hiring: Engineering
What employees say
+ Supportive and collaborative team environment with strong leadership and clear vision. Great opportunities to work on cutting-edge AI/ML projects and continuously learn new technol
− Workload can occasionally increase during tight deadlines, and some processes could be further streamlined for better efficiency.
More reviews on the company profile.
Interview experience · Senior Software Developer
3 to 4 rounds 1st is they'll give you an assessment they'll review it and ask the basic JS and Frontend questions. And the interview is searchable can use google.
Easy difficulty · Hyderābād · 3 reports
More interview insightsJob description
Overview
As a Trainee Software Engineer - AI, you will work as part of the AI and engineering team to build, test, and improve AI-enabled applications and components.
Responsibilities
- Build AI-Enabled Applications: Develop and ship assigned components of AI-powered applications using Python and relevant frameworks, APIs, and tools.
- Develop LLM and Generative AI Solutions: Build and evaluate practical applications involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, embeddings,
- Prepare and Work with Data: Own assigned data preparation and processing tasks, including cleaning, transformation, analysis, and preparation of datasets required for AI and software applications.
- Build, Test, and Improve Solutions: Write clean and maintainable code, test assigned components,debug issues, evaluate outputs, and improve the performance and reliability of the solutions you
- Research and Convert Ideas into Working Prototypes: Evaluate relevant technologies,frameworks, and approaches and translate useful findings into working prototypes or technical implementations.
- Collaborate and Deliver: Work closely with AI Engineers, Software Engineers, and technical leads to understand requirements, communicate progress, participate in reviews, and deliver assigned
- B.Tech / M.Tech / M.Sc in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related technical discipline.
- Preferred CGPA of 8.5 or above. Candidates with exceptional technical achievements may also be considered through alternate qualifying routes such as strong projects, recognised hackathon
- Candidates must demonstrate practical technical experience through at least one substantial project, GitHub repository, live application, hackathon project, research implementation, or
- Strong programming knowledge in Python.
- Good understanding of Data Structures, Algorithms, Object-Oriented Programming, and software engineering fundamentals.
- Good understanding of fundamental Artificial Intelligence and Machine Learning concepts,including data preprocessing and model evaluation.
- Hands-on experience or practical project exposure in Generative AI and Large Language Models (LLMs) is mandatory.
- Practical understanding of one or more Generative AI concepts such as Prompt Engineering, RAG,embeddings, vector databases, transformers, or AI Agents.
Qualifications
- Candidates should be comfortable using AI-assisted development tools for coding, debugging,research, and problem-solving while maintaining a clear understanding of the solutions they develop.
- Strong analytical and problem-solving abilities, along with the ability to learn quickly, take ownership of assigned tasks, and deliver quality work.
- Familiarity with SQL, databases, APIs, and backend development concepts.
- Knowledge of mathematics relevant to AI/ML, including linear algebra, probability, and statistics.
- Exposure to frameworks such as FastAPI, PyTorch, or TensorFlow.
- Knowledge or exposure to areas such as NLP, Computer Vision, or multimodal AI.
- Previous participation in recognised hackathons, research projects, internships, or significant open-source contributions.
- Good communication and teamwork skills.
Verify Python for this role
Free PRACTICE for Python adds a verified skill signal that can boost how roles like this rank for you — optional, not required to browse or apply.
Sign up — verify Python free →Want match scores and deeper insight? Create a free candidate profile
Job application FAQ
Last updated 20 September 2026
- How do I apply for Trainee Software Engineer - Ai at Hiringhood?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Hiringhood may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Trainee Software Engineer - Ai role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Trainee Software Engineer - Ai remote or on-site in Thiruvananthapuram, Keralam?
- This listing is marked on_site with location Thiruvananthapuram, Keralam. Confirm details on the job description before applying.
- What skills matter for this Trainee Software Engineer - Ai role at Hiringhood?
- This is a mid-level Trainee Software Engineer - Ai role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.