Senior Software Development Engineer AIML

Bangalore - India

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Overview:

TekWissen is a global workforce management provider that offers strategic talent solutions to our clients throughout India and world-wide. The below client is the global software quality assurance and testing services company specializing in software testing quality management and DevOps solutions including functional performance and security testing for various software applications

Job Title: Senior Software Development Engineer - AI/ML
Offshore: Pune / Bangalore

Job Type: Contract

Duration: 24 Months

Work Type:Hybrid (3 days Office 2 Day WFH)

Job Description:

Senior Software Development Engineer AI/ML- You will technically lead experienced software and machine learning engineers to develop test and deploy AI-based solutions with a primary focus on large language models and other machine learning applications.
This is an excellent opportunity to apply your software engineering skills in a dynamic real-world environment and gain hands-on experience in cutting-edge AI technology.

Key Responsibilities:

Architect and build scalable AI/ML solutions with a strong focus on Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) systems and deep learning architectures.
Own the full AI lifecycle including data ingestion document indexing embedding generation retrieval preprocessing training fine-tuning evaluation and production deployment.
Design implement and optimize RAG pipelines using vector databases and retrieval frameworks to enable accurate grounded and explainable AI responses.
Apply advanced fine-tuning methods such as LoRA and Q-LoRA to optimize large models for business-specific use cases.
Implement and experiment with reasoning models (e.g. DeepSeek-R1) and hybrid RAG reasoning workflows for complex enterprise AI applications.
Curate clean chunk and manage high-quality structured and unstructured datasets for robust RAG and model training workflows.
Evaluate and improve RAG systems using RAG-specific evaluation techniques such as retrieval accuracy faithfulness relevance latency and hallucination reduction.
Optimize model and retrieval performance through embedding optimization reranking strategies inference tuning compute optimization and efficient resource utilization.
Build automated MLOps and LLMOps pipelines for training deployment monitoring drift detection and continuous improvement of AI and RAG systems.
Deploy AI and RAG solutions across cloud platforms (AWS Azure GCP) and explore edge deployments where required.
Develop APIs and microservices to integrate AI and RAG capabilities seamlessly into enterprise applications.
Ensure compliance with data security regulatory standards privacy requirements and responsible AI practices.
Collaborate with product engineering and business stakeholders to deliver AI-driven and RAG-powered business outcomes.
Mentor junior engineers and promote best practices in AI RAG system design and software engineering.
Stay current with emerging AI LLM and RAG research and drive innovation across the team.

Basic Qualifications:

Bachelors Masters or PhD in Computer Science Data Science Engineering or a related field.
5 8 years of hands-on experience in AI/ML engineering or related roles.
Strong programming skills in Python.
Solid understanding of machine learning fundamentals and deep learning concepts.
Hands-on experience with ML frameworks such as PyTorch TensorFlow and scikit-learn.
Practical experience or strong familiarity with LLMs transformer-based architectures and RAG concepts.
Experience with vector databases (e.g. FAISS Pinecone Weaviate Milvus) and retrieval frameworks (e.g. LangChain LlamaIndex) is a plus.
Understanding of RAG evaluation techniques prompt engineering and grounding strategies is a plus.
Familiarity with frontend development and frameworks such as React.

Preferred Qualifications:

Excellent problem-solving skills and an eagerness to learn in a fast-paced environment
Strong attention to detail and ability to communicate technical concepts clearly .

TekWissen Group is an equal opportunity employer supporting workforce diversity.

Overview: TekWissen is a global workforce management provider that offers strategic talent solutions to our clients throughout India and world-wide. The below client is the global software quality assurance and testing services company specializing in software testing quality management and Dev...