Gen. AI Developer Trainee

NEW OPPORTUNITY || IMMEDIATE JOINERS REQUIRED - Freshers 2026 Pass Outs Are Welcomed ||

Position Title:- Gen. AI Developer Trainee

Experience:- Freshers

Location:- Dehradun, UK (Onsite)

About the Rol

eWe are looking for enthusiastic 2026 graduates with strong Python fundamentals and interest in Generative AI

.As Gen. AI Developer Trainee, you will work in a collaborative, learning-focused environment and gain hands-on experience in building AI powered applications using Python, APIs, Large Language Models, RAG, AI agents and modern AI frameworks

.

Key Responsibiliti

• esDevelop and test AI-powered applications using Pytho
• n.Build and integrate REST APIs, databases, AI models and external service
• s.Assist in developing LLM, RAG and AI-agent-based solution
• s.Process structured and unstructured dat
• a.Write clean, maintainable, and well-documented cod
• e.Debug applications and improve performance and reliabilit
• y.Participate in code reviews, technical discussions, and project wor

k.

Eligibil

• ityB.E., B.Tech., MCA, M.Sc. or equivalent qualification in Computer Science, IT, AI, Data Science, or a related discipli
• ne.Graduating in 20
• 26.Available to work on-si
• te.Strong interest in software development and Artificial Intelligen

ce.

Must-Have Sk

• illsPython programming and Object-Oriented Programm
• ing.Data Structures, Algorithms, and problem-solving fundament
• als.SQL and relational database bas
• ics.Source Code Management tools (Git/GitHub/Bitbucket) bas
• ics.REST API, knowledge of NumPy and Pan
• das.Machine Learning fundamentals including classification, regression, training and validation, overfitting and evaluation metr
• ics.Basic understanding of Generative AI and Large Language Mod
• els.Good communication, teamwork and learning abil

ity.

Good-to-Have S

• killsFastAPI, Flask, Django or similar framew
• orks.Prompt engineering, RAG, AI agents, A2A,
• MCP.LangChain, LlamaIndex, Semantic Kernel or similar framew
• orks.Vector databases such as FAISS, Chroma, Pinecone, or Qd
• rant.Hugging Face models or OpenAI-compatible
• APIs.Embeddings, transformers, and semantic se
• arch.scikit-learn, PyTorch, or Tensor
• Flow.Docker, Linux, cloud fundamen
• tals.Academic, personal, internship or open-source AI proj

• ects.
• Candidates are not expected to know every technology listed
• above.Strong programming fundamentals, curiosity, problem-solving ability and learning potential will be given greater impor
• tance.
• Learning and Career
• GrowthSelected candidates will receive mentorship, structured learning, hands-on project experience and exposure to modern AI engineering pra
• ctices.High-performing trainees may be considered for full-time employment based on performance, project completion, business requirements and organizational po