[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Mclean, VA # Engineer Mclean, VA $100,000-$120,000 Operations Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/jobs/423606J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / 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