GEN AI Engineer
Job in
Tampa, Hillsborough County, Florida, 33602, USA
Listed on 2026-02-27
Listing for:
TATA Consulting Services
Full Time
position Listed on 2026-02-27
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below
Technical Skills
Strong experience with Python (mandatory); exposure to Java/Type Script is a plus.
Hands-on experience with LLMs and GenAI frameworks (e.g., Lang Chain-style orchestration, agent frameworks).
Experience with Agentic AI concepts: planning, tool use, memory, multi-agent coordination.
Experience with vector databases and semantic search.
API integration and microservices architecture.
Cloud platforms (Azure / AWS / GCP).
AI/ML Knowledge
Understanding of NLP, deep learning, and transformer-based models.
Experience with model evaluation, hallucination mitigation, and prompt optimization.
Familiarity with Responsible AI, security, and data privacy principles.
Roles & Responsibilities
GenAI Development
Design and implement GenAI solutions using LLMs for text, code, and knowledge-based use cases.
Develop prompt engineering, prompt orchestration, and reusable prompt libraries.
Fine-tune and evaluate LLMs for enterprise-specific tasks.
Integrate GenAI capabilities into applications, APIs, and workflows.
Agentic AI & Autonomous Systems
Design and implement agentic architectures (planner, executor, evaluator, memory).
Build multi-agent systems with task decomposition, tool usage, and feedback loops.
Enable agents to interact with enterprise tools, APIs, databases, and knowledge stores.
Implement agent memory, reasoning chains, and self-reflection mechanisms.
Architecture & Engineering
Define end-to-end AI solution architecture (cloud, APIs, security, observability).
Implement Retrieval-Augmented Generation (RAG) with vector databases.
Ensure scalability, performance, reliability, and cost efficiency.
Apply Responsible AI, governance, and compliance standards.
Collaboration & Delivery
Work closely with product owners, domain experts, and engineering teams.
Translate business problems into AI-driven solutions.
Support SDLC phases including design, development, testing, deployment, and support.
Mentor junior engineers and contribute to AI best practices.
Salary Range: $100,000-$130,000 a year
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