Job ID: JOB_ID_2687
Role Overview: Generative AI Engineer
As we move into 2026, the landscape of Artificial Intelligence has shifted from experimental prototypes to robust, agentic systems that drive enterprise value. We are seeking a highly skilled Gen AI Engineer for a 12-month C2C contract to lead the development of next-generation AI solutions. This role is entirely remote and focuses on building, fine-tuning, and deploying Large Language Models (LLMs) within complex, multi-modal environments.
Key Responsibilities and Technical Scope
- Model Development and Fine-Tuning: You will be responsible for the end-to-end lifecycle of LLMs, including selecting appropriate open-source or commercial models, performing supervised fine-tuning (SFT), and implementing Reinforcement Learning from Human Feedback (RLHF) where necessary.
- Agentic AI Architectures: A core component of this role involves building autonomous agent systems. You will utilize frameworks such as LangGraph, CrewAI, and OpenAI Assistants to create workflows where multiple AI agents collaborate to solve complex tasks.
- Prototyping and MVP Development: Rapidly develop Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) to demonstrate the feasibility of AI-driven features. This requires a deep understanding of the ‘fail fast’ mentality and the ability to iterate based on performance metrics.
- Multi-Modal Integration: Beyond text, you will work with multi-modal data streams, integrating vision, audio, and structured data into unified AI interfaces.
- Orchestration and Tooling: Expertise in LangChain for chain-of-thought reasoning and vector database management is essential. You will optimize RAG (Retrieval-Augmented Generation) pipelines to ensure high accuracy and low latency in production environments.
Technical Requirements
- Programming Mastery: Expert-level proficiency in Python is mandatory, specifically for data science and AI libraries.
- AI/ML Foundations: A strong theoretical and practical foundation in deep learning, neural networks, and transformer architectures.
- API Integration: Extensive experience working with OpenAI API, Anthropic, and Hugging Face Transformers.
- Deployment: Familiarity with deploying models using Docker, Kubernetes, and cloud-native AI services (AWS SageMaker, Azure AI, or GCP Vertex AI).
Professional Expectations
The ideal candidate is a self-starter who stays at the forefront of AI research. You should be comfortable working in an Agile environment, participating in daily stand-ups, and collaborating with cross-functional teams including Data Engineers and Product Managers. Given the contract nature of this role, we expect high-quality code documentation and a focus on scalability from day one.
Special Requirements
12 Months Contract-C2C; Remote; Expertise in LangGraph/CrewAI required
Compensation & Location
Salary: $160,000 – $230,000 per year (Estimated)
Location: Remote
Recruiter / Company – Contact Information
Recruiter / Employer: Aptiva Corp
Email: manohar@aptivacorp.com
Recruiter Notice:
To remove this job posting, please send an email from
manohar@aptivacorp.com with the subject:
DELETE_JOB_ID_2687