What we offer
At Tata Consultancy Services in Sunrise, FL, you will design and deploy GenAI solutions powered by large language models, delivering end-to-end GenAI use cases and production-ready systems. The environment emphasizes collaboration, continuous learning, and real-world impact. Benefits include a discretionary annual incentive and a comprehensive package that supports health, family, finances, and professional growth. You will have access to medical coverage, dental and vision plans, disability protection, pet insurance, and a suite of insurance options. The role also supports maternal and parental leaves, auto and home insurance, identity theft protection, commuter benefits, certification and training reimbursement, generous time off, and resources for legal and financial planning, 401K, performance bonuses, college funds, and student loan refinancing. This is a culture that values growth, responsibility, and sustained, practical AI delivery.
Location
Sunrise, FL — Onsite
Compensation
Salary: USD 90,000 - 110,000 per year
Role overview
Tata Consultancy Services is seeking a Machine Learning Engineer to design, build, and deploy GenAI solutions powered by large language models, focusing on end-to-end GenAI use cases and production-ready systems.
Responsibilities
- Design, develop, and deploy GenAI applications using large language models
- Construct agent-driven workflows with LangChain and LangGraph
- Develop machine learning models and production-ready AI solutions
- Implement and govern LLM memory and state management strategies
- Fine-tune prompts, optimize retrieval pipelines, and coordinate orchestration workflows
- Collaborate with product and platform teams to deliver scalable AI solutions
- Deploy, monitor, and maintain AI/ML systems in production environments
- Evaluate and integrate open-source and proprietary LLMs for deployment
Requirements
- 8+ years of experience in ML engineering or related field
- Strong experience with LLMs (e.g., OpenAI, Anthropic, Llama, Mistral)
- Hands-on experience with LangChain and/or LangGraph
- Solid understanding of LLM memory architecture and state management
- Proficiency in Python and ML engineering best practices
Technologies
- LangChain
- LangGraph
- Python
- OpenAI
- Anthropic
- Llama
- Mistral
- Vertex AI
- BigQuery
- GCS
Desired skills
