This position is posted by Jobgether on behalf of a partner company. We are currently looking for a
Staff Software Engineer AI in
India.
In this role, you will lead the design, development, and optimization of advanced AI agent systems for enterprise-scale applications. You will work on cutting-edge multi-agent AI platforms, including LLMs and SLMs, to deliver intelligent automation and real-time business insights. Collaborating with cross-functional teams, you will influence architecture decisions, mentor engineers, and implement scalable, secure, and cost-efficient AI solutions. Your work will impact millions of daily transactions and directly contribute to measurable business value. This is a highly technical, hands-on role in a dynamic, remote-friendly environment.
- Accountabilities
- Lead architecture and implementation of production-scale AI agent systems and orchestration frameworks.
- Optimize deployment strategies for LLMs and SLMs using fine-tuning, quantization, and distillation techniques.
- Develop multi-modal AI systems for document understanding, semantic retrieval, and long-context processing.
- Build secure, scalable, and multi-tenant microservices with real-time observability and monitoring.
- Design and maintain data pipelines for training, synthetic data generation, and RLHF/RLAIF feedback loops.
- Mentor engineers, conduct code reviews, and establish best practices for AI system development.
- Implement cost optimization strategies, fallback mechanisms, and multi-provider redundancy.
- Requirements
- 8+ years of software engineering experience, with 3+ years in production AI/ML systems.
- Expertise in Python, PyTorch/JAX, and AI frameworks such as LangChain, LangGraph, and Transformers.
- Hands-on experience with LLMs (GPT-4, Claude, Gemini) and SLMs (Phi, Llama, Mistral), including fine-tuning and optimization.
- Proficiency in distributed systems, Kubernetes, cloud platforms (AWS, SageMaker, Bedrock), and GPU/edge deployments.
- Experience with vector databases, RAG architectures, streaming systems, and real-time inference.
- Knowledge of security measures for AI systems, including prompt injection prevention and jailbreak detection.
- Preferred: experience with supply chain systems, document intelligence, OCR pipelines, GraphRAG, MoE architectures, and enterprise compliance.
- Strong communication, leadership, and project delivery skills in fast-paced, collaborative environments.
- Benefits
- Competitive compensation with stock options and performance-based incentives.
- Flexible and hybrid work arrangements with remote options.
- Wellness stipends, parental leave, volunteer days, and global recharge days.
- Opportunities to work with leading AI tools, foundation models, and experiment with innovative approaches.
- Professional growth through mentorship, learning programs, and exposure to large-scale AI systems.
- Inclusive and collaborative company culture with focus on diversity and employee support.
Why Apply Through Jobgether
We use an
AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
