Engineer

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

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Role: Engineer

Desired skills: Artificial Intelligence

Qualifications: BACHELOR OF COMPUTER SCIENCE

• Experience: 8 - 10 Years

• Job function: TECHNOLOGY

• Location: Mclean, VA

Salary range: $100,000–$120,000

Apply by: 2026-09-20 00:00:00