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Software Engineer (AI)

Electrifex Technologies

Kochi

0-1 years

2 days ago

$6.0K–6.0K/yr

Full time

Onsite

Skills Required LLM

RAG

LangChain

Agentic AI

Fine-tuning

Hugging Face

Vector Database

Transformer

Vision Transformer vLLM

LoRA

QLoRA

SFT

Instruction tuning

Experiment tracking

Description We are looking for a curious and driven AI Research Developer to join our expanding team. This role involves exploring, prototyping, and benchmarking emerging AI techniques and collaborating with engineering teams to deploy software.

Company: Electrifex

Role: Software Engineer (AI)

Location: Kochi

Experience

- Fresher

Qualification

- Bachelor's degree in Artificial Intelligence and Machine Learning, Computer Science, Electronics, Mathematics, or a relevant field
- Master's degree in Artificial Intelligence and Machine Learning, Computer Science, Electronics, Mathematics, or a relevant field

Responsibilities

- Track recent developments in generative AI, agentic systems, and model optimization
- Assess relevance of AI techniques to ongoing and upcoming projects
- Reproduce results from research papers and open-source repositories
- Build proof-of-concept prototypes
- Design and run experiments including dataset preparation, training/fine-tuning runs, ablation studies, and evaluation
- Benchmark models for accuracy, latency, memory footprint, and throughput on target hardware
- Work with product and engineering teams to hand over validated approaches with documentation and integration support
- Write technical reports, internal documentation, and presentations for technical and non-technical audiences
- Participate in code reviews, experiment reviews, and team knowledge-sharing sessions

Additional Responsibilities

- Interact with customers to understand problem statements and propose feasible AI approaches
- Attend quiz online
- Schedule and attend coding test and technical interviews at Electrifex office in Kochi




- Attend HR interview at Electrifex office in Kochi

Nice To Have

- Exposure to quantization, pruning, and distillation techniques for model compression
- Experience with inference runtimes such as llama.cpp, Ollama, vLLM, ONNX Runtime, or TensorRT
- Familiarity with agentic frameworks (LangGraph, MCP-based tooling) and multi-step reasoning systems
- Exposure to GPU/NPU programming concepts (CUDA, OpenCL) and profiling tools
- Exposure to FastAPI, Django, SQLAlchemy for serving prototypes
- Publications, preprints, open-source contributions, or competition results in a relevant area
- Working knowledge of C/C++

More Skills Python, Machine learning fundamentals, Deep learning fundamentals, Activation functions (ReLU, GELU, SiLU, Softmax), Loss functions, Optimizers, Regularization, Evaluation metrics, Transformer internals (Attention, MLP, LayerNorm, RoPE), CNN, RNN, LSTM, Vision Transformer architectures, PyTorch, Hugging Face ecosystem, LLM inference pipeline, Tokenization, Sampling strategies, KV caching, Fine-tuning techniques (LoRA/QLoRA, SFT, instruction tuning), Graph databases, RAG implementation, Data structures, Algorithms, Problem-solving, Analytical skills, Git

Prepare for this role

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