Sr Gen AI Engineer

Company Description

ITGenSoft is a high-growth information technology company based in Dallas, TX. We provide managed and consulting services globally, partnering with a vast network of vendors and contractors. Our teams specialize in Cloud Infrastructure, DevOps, SecOps, AI, ML Ops, and more, serving various industries like Supply Chain, Retail, Healthcare, Financial, and Telecom. ITGenSoft combines technical expertise with business knowledge to deliver optimal IT solutions and long-term support for our clients.

Role Description

This is a contract, remote role for a Sr Gen AI Engineer. The Sr Gen AI Engineer will be responsible for designing, developing, and implementing AI solutions. Daily tasks include conducting research, developing and optimizing machine learning models, collaborating with cross-functional teams, and maintaining AI systems. The engineer will also work on integrating AI solutions into existing infrastructure and will ensure scalable deployment.

VISA : US Citizen

Location : Boston / Experienced profiles can WFH

Email profiles to : talent@itgensoft.com

Seeking an experienced GenAI Engineer to integrate LLM APIs, build AI-driven applications, optimize model performance, and deploy AI services at scale. The ideal candidate has expertise in Python-based AI development, LLM orchestration, cloud deployment, and enterprise AI integration.

Key Responsibilities:

AI Application Development – Build and maintain Python-based AI services using LangChain, and CrewAI. Implement RAG-based retrieval and Agentic AI workflows.

LLM Integration & Optimization – Integrate OpenAI, Bard, Claude, Azure OpenAI APIs. Optimize API calls using temperature, top-p, max tokens and reduce hallucinations using embedding-based retrieval (FAISS, Pinecone).

Model Evaluation & Performance Tuning – Assess AI models using Model Scoring, fine-tune embeddings, and enhance similarity search for retrieval-augmented applications.

API & Microservices Development – Design scalable RESTful APIs services. Secure AI endpoints using OAuth2, JWT authentication, and API rate limiting.

Cloud Deployment & Orchestration – Deploy AI-powered applications using AWS Lambda, Kubernetes, Docker, CI/CD pipelines. Implement LangChain for AI workflow automation.

Agile Development & Innovation – Work in Scrum teams, estimate tasks accurately, and contribute to incremental AI feature releases.

Tech Stack & Tools:

AI/ML: PyTorch, TensorFlow, Hugging Face, Pinecone

LLMs & APIs: OpenAI, LangChain, CrewAI

Cloud & DevOps: AWS, Azure, Kubernetes, Docker, CI/CD

Security & Compliance: OAuth2, JWT, HIPAA

Qualifications
• Knowledge of AI and Machine Learning principles, including model development and optimization
• Experience with Python and other programming languages relevant to AI engineering
• Background in DevOps and MLOps processes
• Skills in systems integration, cloud migration, and cloud infrastructure management
• Experience with database management, including SQL, NoSQL, and database optimization
• Strong problem-solving skills and the ability to work collaboratively in a remote setting
• Relevant experience in industries such as healthcare, finance, telecom, and retail is a plus
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field