Design, develop, and deploy enterprise-scale Machine Learning and Generative AI solutions. The ideal candidate will have strong expertise in Python, LLMs, NLP, MLOps, cloud platforms, and production-grade AI systems. This is a hands-on engineering role that combines technical leadership, solution architecture, and end-to-end ownership of AI applications.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Avanciers is a premier IT Staffing & Consulting organization and we are currently recruiting for a Full-Time opportunity with one of our premier clients in USA.
Job Title: AI/ML Software Engineer (Generative AI & LLMs)
Location: 100% Remote
Employment Type: Contract (C2C/ W2)/ Full-Time
Experience Required: 8–15 Years
About the Role
We are seeking an experienced AI/ML Software Engineer to design, develop, and deploy enterprise-scale Machine Learning and Generative AI solutions. The ideal candidate will have strong expertise in Python, LLMs, NLP, MLOps, cloud platforms, and production-grade AI systems. This is a hands-on engineering role that combines technical leadership, solution architecture, and end-to-end ownership of AI applications.
Key Responsibilities
- Design, develop, and deploy scalable AI/ML, LLM, and Generative AI solutions from concept to production.
- Build and optimize Retrieval-Augmented Generation (RAG) pipelines and intelligent NLP applications.
- Develop and integrate AI services using OpenAI APIs and modern LLM frameworks.
- Implement MLOps practices including model deployment, monitoring, automation, and lifecycle management.
- Fine-tune and evaluate generative AI models to improve performance, accuracy, and reliability.
- Build cloud-native AI applications using microservices, containers, and orchestration platforms.
- Collaborate with product managers, data scientists, and cross-functional teams to deliver business-driven AI solutions.
- Conduct architecture reviews, code reviews, and mentor junior engineers.
- Monitor model performance and implement continuous improvements for production environments.
- Communicate technical concepts and AI capabilities effectively to both technical and business stakeholders.
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Required Skills
- 8–15 years of software engineering experience with 3+ years in AI/ML and Generative AI.
- Strong programming skills in Python.
- Hands-on experience with OpenAI APIs, LLMs, and prompt engineering.
- Experience with TensorFlow, PyTorch, Scikit-learn, or similar ML frameworks.
- Strong understanding of machine learning, deep learning, NLP, and model evaluation techniques.
- Experience building and deploying RAG-based applications.
- Expertise with cloud platforms such as AWS, Azure, or GCP.
- Experience with Docker, Kubernetes, CI/CD, and microservices architecture.
- Knowledge of MLOps, model monitoring, governance, and production operations.
- Excellent communication, collaboration, and problem-solving skills.
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Preferred Qualifications
- Experience in financial services, banking, or fintech domains.
- Knowledge of vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS.
- Experience with LangChain, LlamaIndex, and AI orchestration frameworks.
- Familiarity with Chain-of-Thought (CoT), Tree-of-Thought (ToT), and Graph-of-Thought (GoT) prompting techniques.
- Experience leading technical teams and mentoring engineers.
Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
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