AI Engineer
Tata Consultancy Services (TCS) · Miami, US
Job description
Role - AI engineer
Experience Required - 8+ Years
Must Have Technical/Functional Skills
-
10+ years of experience building large-scale distributed systems + strong experience with LLM systems, agentic workflows or advanced ML infrastructure
-
AI engineers with recent NodeJS/Javascript/Typescript experience
-
Proven ownership of complex, cross-cutting agentic systems spanning multiple teams or products.
-
Strong engineering fundamentals across backend systems, APIs, data pipelines, and cloud infrastructure.
-
Deep experience across the agentic AI stack, including planning, tool use, memory, and evaluation.
-
Fluency with AI-assisted and agentic development workflows.
-
Comfort operating in ambiguous problem spaces and translating them into shipped, reliable autonomous systems.
-
Ability to influence technical direction and align teams without formal authority.
-
Experience in workflow engines, async processing, queues, and streaming systems.
-
Languages: NodeJS/Javascript/Typescript,Python, Go
-
APIs and services: REST, gRPC
-
Cloud and infrastructure: AWS and/or GCP, Kubernetes
-
Distributed systems: event-driven architectures, including Kafka
-
Orchestration Frameworks: LangGraph, LangChain, AirFlow, etc
-
Integration of commercial and open-source LLMs into agentic workflows
-
Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with strong judgment about when to use frameworks versus building lighter-weight primitives
-
Model-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to TensorFlow
-
Strong schema, validation, and state management practices using tools such as Pydantic (Python) and Zod (TypeScript)
-
Experience building agentic systems in fintech or other regulated industries.
-
Experience as a founding engineer or early technical leader in AI-driven products.
-
Demonstrated success delivering technically complex autonomous systems that customers actively rely on.
-
Meaningful contributions to open-source AI or agentic frameworks.
-
Familiarity with fine-tuning, model optimization and inference pipelines is a plus.
Roles & Responsibilities
-
Drive technical direction for agentic AI initiatives, influencing architecture patterns, autonomy boundaries, and system design.
-
Design, build, and operate production-grade age ntic AI systems used across multiple products.
-
Own and evolve shared agentic AI capabilities, including:
-
Agent frameworks and orchestration layers
-
Planning, tool use, and memory strategies
-
Retrieval and grounding (RAG) pipelines
-
LLM infrastructure, inference, and model gateways
-
Evaluation, observability, and safety tooling for autonomous systems
-
Lead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost.
-
Partner across teams to deliver complex, cross-cutting agentic AI initiatives from concept to production.
-
Evaluate emerging models, techniques, and agentic patterns and translate them into practical, enterprise-ready improvements.
-
Mentor senior engineers and raise the technical bar for agentic AI development through example and influence.
Base Salary Range : $100,000 to $120,000 Per Annum
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.
Location
Sunrise, FL
Job Function
TECHNOLOGY
Role
Engineer
Job Id
416979
Desired Skills
Artificial Intelligence
Salary Range
$100,000-$120,000 a year
ML/AI Work links you to the employer's original posting — always verify the details there before applying.
More Core AI Engineering roles
View all →AI Engineer, Policy, Optimus
Tesla · San Jose, US
Senior AI Engineer – Developer Products
Workato · Remote · San Francisco
Legal AI Researcher/Analyst – Regulatory Compliance II
LexisNexis Legal & Professional · Remote · Sydney
AI Robotics & Autonomous Systems Instructor (Afterschool)
Kūlia Academy · Honolulu, US
Data Scientist, Mid
Booz Allen Hamilton · Remote · Baltimore
AI Research Engineer
— · Calgary, CA