Lead AI Developer
1 week ago
We are seeking a highly experienced Senior/Lead
AI Developer
with extensive expertise in the latest
Generative AI (GenAI), Agentic AI, and other cutting-edge artificial intelligence technologies
. The ideal candidate has a proven track record of designing and deploying advanced AI solutions in dynamic, data-intensive environments.
This role is perfect for an innovative thinker who thrives in fast-paced settings and is eager to
push the boundaries of AI technology
.
Responsibilities:
- Advanced AI Development:
- Architect, develop, and implement AI models and systems, with a strong focus on
generative and agentic AI
. Leverage state-of-the-art algorithms and frameworks to build scalable and high-performance AI applications. - Research & Innovation:
- Stay abreast of the latest trends and breakthroughs in AI, particularly in GenAI and Agentic AI. Experiment with novel approaches and techniques to drive innovation and enhance product capabilities.
- Collaboration & Integration:
- Work closely with cross-functional teams—including data scientists, software engineers, and product managers—to integrate AI solutions into existing systems. Ensure seamless data flow and optimal performance across various platforms.
- Code Quality & Mentorship:
- Write robust, clean, and maintainable code. Lead technical discussions, perform code reviews, and mentor junior developers, fostering a culture of continuous learning and excellence.
- Performance Optimization & Scalability:
- Optimize AI models for efficiency and scalability. Address performance bottlenecks and continuously monitor system performance to ensure reliability and accuracy.
Experience:
- Extensive industry experience in
AI development
, with a strong portfolio demonstrating proficiency in
Generative AI
and
Agentic AI applications
. - Technical Skills:
- AI Frameworks & Libraries:
Hands-on experience with modern AI frameworks (e.g.,
TensorFlow, PyTorch
) and familiarity with emerging Generative AI platforms. - Programming Languages:
Proficiency in
Python
; exposure to
Rust
or
C++
is a plus. - Data Management:
Expertise in handling
large-scale, data-intensive environments
and designing efficient data pipelines. - Full Stack Development:
Strong experience in
frontend and backend development
. - API Development:
Proven experience in
developing REST APIs
for scalable applications. - AI Agent Development:
Practical experience with
LangChain, LangFlow
, and similar frameworks. - Model Training & Finetuning:
Hands-on experience in
training, fine-tuning, and deploying AI/ML models
. - Cloud Expertise:
Familiarity with
AWS or GCP cloud environments
for deploying AI workloads. - Protocols:
Worked with advanced protocols like
MCP (Model Context Protocol)
and
A2A (Agent-to-Agent)
communication. - Core Competencies:
- Strong analytical and problem-solving skills with the ability to translate complex business requirements into technical solutions.
- Excellent communication skills for effective collaboration across diverse teams.
- Familiarity with
Agile methodologies
and best practices in software development. - Advanced degrees (Master's/Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Experience with
cloud-based AI solutions and infrastructure
(e.g., AWS, Azure, Google Cloud). - Proven track record of contributing to
AI research publications or patents
in Generative AI or Agentic AI. - Knowledge of
ethical AI practices
, ensuring model fairness, transparency, and accountability.
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