Engineer

Job description

Job Summary

We are looking for motivated and enthusiastic trainees with a strong foundation in programming and emerging technologies. The ideal candidates should have hands-on knowledge of modern programming languages, familiarity with AI-enabled tools, and strong communication skills to effectively collaborate with teams and stakeholders Key Responsibilities:

Develop and Enhance GenAI Solutions

• Build, fine-tune, and optimize LLM-based applications, ensuring high accuracy, reliability, and performance.

Implement RAG and AI Pipelines

• Create end-to-end GenAI workflows using vector databases, embeddings, and cloud-based model orchestration.

Integrate AI into Products

• Work with APIs, microservices, and backend systems to embed GenAI features into applications at scale.

Monitor and Improve Model Performance

• Conduct evaluations, A/B tests, and model drift checks while applying prompt engineering and optimization techniques.

Collaborate and Ensure Responsible AI

• Partner with cross-functional teams to implement secure, compliant, and ethically aligned AI systems Qualification and Specialization: Required Skills & Qualifications:
• Design, build, and optimize GenAI solutions using LLMs, transformer-based models, and multimodal architectures for real-world business applications.
• Fine-tune and evaluate pre-trained models (e.g., GPT, Llama, Claude, Gemini) using domain-specific datasets to improve accuracy and performance.
• Develop scalable AI pipelines including data ingestion, model training, inference services, and deployment on cloud platforms (Azure/AWS/GCP).
• Implement Retrieval-Augmented Generation (RAG) using vector databases (Pinecone, FAISS, Chroma DB, Azure AI Search) to enable enterprise-grade QA and summarization systems.
• Integrate GenAI models into applications via APIs, SDKs, microservices, or custom backend frameworks (Python/Node.js).
• Optimize model performance through prompt engineering, model compression, quantization, and latency reduction techniques.
• Collaborate with cross-functional teams (data engineers, product owners, designers) to translate business needs into AI capabilities.
• Ensure security, compliance, and responsible AI practices including data privacy, model monitoring, bias mitigation, and ethical guidelines.
• Conduct experimentation and benchmarking to evaluate model performance, run A/B tests, and document results for continuous improvement.
• Stay up to date with the latest advancements in generative AI, LLM frameworks, and open-source tools while contributing to internal innovation initiatives.

TCS Employee Benefits Summary

Discretionary Annual Incentive.

Comprehensive Medical Coverage

Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support

Maternal & Parental Leaves.

Insurance Options

Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth

Commuter Benefits & Certification & Training Reimbursement.

Time Off

Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance

Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range

$100,000-$120,000 a year </div

Qualifications

BACHELOR OF COMPUTER SCIENCE