Gen AI Engineer

CCS INC; Plano (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Bonus based on performance

Competitive salary

Dental insurance

Health insurance

Paid time off

Vision insurance

Job summary

A technology firm located in Texas is seeking an experienced software engineer to design scalable GenAI architectures. Candidates should have over 10 years of experience and a strong background in building GenAI applications. Proficiency in Python and familiarity with cloud platforms, especially AWS, are crucial. Responsibilities include fine-tuning models and integrating GenAI capabilities into enterprise systems. Competitive salary and performance bonuses are offered.

Qualifications

• 10+ years of software engineering and development experience.
• Strong experience in building and deploying GenAI applications in production.
• Strong programming with Python and familiar with GenAI libraries.

Responsibilities

• Design scalable and robust GenAI architectures using LLMs.
• Fine-tune foundation models using domain-specific data.
• Integrate GenAI capabilities into enterprise platforms using APIs.

Skills

Software engineering and development

GenAI applications

Python programming

LLMs and embeddings

Cloud platforms (AWS, Azure, GCP)

Containerization (Docker, Kubernetes)

CI/CD for ML workflows

Cloud-native solutions

AWS AI/ML services

Financial Services experience

Job description

Benefits

• Bonus based on performance
• Competitive salary
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Qualifications

• 10+ years of software engineering and development experience
• Strong experience in building and deploying GenAI applications in production.
• Strong programming with Python and familiar with GenAI libraries (Transformers, LangChain, Hugging Face, etc.).
• Deep understanding of LLMs, embeddings, vector databases (e.g., FAISS, Pinecone, Weaviate).
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Familiarity with CI/CD for ML workflows and versioning tools like MLflow or DVC.
• Hands‑on experience designing and building cloud‑native solutions (preferably on AWS)
• GenAI tools and frameworks (e.g., LLMs, vector databases, prompt orchestration, LangChain, Bedrock) will be a PLUS
• Familiar with AWS AI/ML services (e.g., SageMaker, Bedrock, Comprehend, Lex) is a PLUS
• AWS AI certification
• Financial Services experience

Responsibilities

• Design scalable and robust GenAI architectures using LLMs, multimodal models, and retrieval-augmented generation (RAG).
• Fine‑tune foundation models using domain‑specific data.
• Implement prompt engineering, instruction tuning, and reinforcement learning from human feedback (RLHF).
• Integrate GenAI capabilities into enterprise platforms using APIs, SDKs, and orchestration tools.
• Implement responsible AI practices including bias detection, hallucination mitigation, and explainability.
• Drive experimentation with new models, agents, and frameworks (e.g., LangChain, LlamaIndex, OpenAI, Anthropic, etc.).