More jobs:
Job Description & How to Apply Below
We are looking for a SSDE Python ML to design, build, and deploy intelligent agentic systems that solve complex, real-world problems at enterprise scale.
You will work on cutting-edge AI frameworks, multimodal pipelines, MCP-based infrastructures, and agent-driven workflows that combine autonomous reasoning with human-in-the-loop learning. This role is ideal for hands-on engineers who enjoy building production-grade AI systems that directly drive business outcomes.
What You’ll Be Doing
Agentic & AI Systems Development
- Design and deploy intelligent, agent-driven systems that autonomously solve complex business problems
- Engineer collaborative multi-agent frameworks capable of coordinated reasoning and action
- Build and extend MCP-based infrastructure for secure, context-aware agent and tool interactions
Human-in-the-Loop AI
- Develop workflows combining agent autonomy with human oversight
- Implement continuous learning via feedback loops (e.g., RLHF, in-context correction)
AI/ML Engineering
- Build, fine-tune, train, and evaluate ML and deep-learning models using PyTorch and Tensor Flow
- Work with multimodal data pipelines (text, images, structured data)
- Integrate models into production via APIs, inference pipelines, and monitoring systems
Engineering Excellence
- Follow best practices using Git, testing frameworks, and CI/CD pipelines
- Document system architecture, design decisions, and trade-offs
- Stay current with AI research and apply relevant advancements to product development
What We’re Looking For
Core Technical Skills
- Strong proficiency in Python and agentic frameworks
- Solid understanding of ML fundamentals (optimization, representation learning, evaluation metrics)
- Experience with supervised, unsupervised, and generative modeling
- Hands-on experience with multimodal datasets and feature pipelines
- Proven experience deploying ML models to production, including inference optimization and monitoring
- Familiarity with LLMOps/MLOps concepts: versioning, reproducibility, observability, governance
Bonus Skills (Good to Have)
- Experience designing goal-oriented agentic systems and multi-agent coordination workflows
- Exposure to Lang Chain, Lang Graph, Auto Gen, Google ADK, or similar frameworks
- Knowledge of secure agent/tool communication protocols such as MCP
- Experience with RLHF and reward modeling
- Cloud platform experience.
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×